2018
|
Masters Theses
|
Steven Helm On-board Range-based Relative Localization: For Leader-Follower Flight of Micro Aerial Vehicles (Masters Thesis) TU Delft Aerospace Engineering; TU Delft Control & Simulation, 2018, (de Croon, G.C.H.E. (mentor); McGuire, K.N. (graduation committee); Coppola, M. (graduation committee); Chu, Q. P. (graduation committee); Verhoeven, C.J.M. (graduation committee); Delft University of Technology (degree granting institution)). @mastersthesis{uuid:6a3c6f9c-1634-4575-844c-510092f73dc6,
title = {On-board Range-based Relative Localization: For Leader-Follower Flight of Micro Aerial Vehicles},
author = {Steven Helm},
url = {http://resolver.tudelft.nl/uuid:6a3c6f9c-1634-4575-844c-510092f73dc6},
year = {2018},
date = {2018-01-01},
school = {TU Delft Aerospace Engineering; TU Delft Control & Simulation},
abstract = {In this paper a range-based relative localization solution is proposed and demonstrated in practice. The approach is based on wireless range measurements between robots, along with the communication of their velocities, accelerations, yaw rates, and height. It can be implemented on many robotic platforms without the need for dedicated sensors. With respect to previous work, we remove the dependency on a common heading reference between robots. The main advantage of this is that it makes the relative localization approach independent of magnetometer readings, which are notoriously unreliable in an indoor environment. A theoretical observability analysis shows that it may also have two disadvantages: the motion of the robots must meet more stringent conditions and the relative localization method becomes more susceptible to noise on the range measurements. However, simulation results have shown that in the presence of significant magnetic disturbances that are common to indoor environments, removing the heading dependency is beneficial. We conclude the paper by implementing the heading-independent method on real Micro Aerial Vehicles (MAVs) and performing leader-follower flight in an indoor environment. Despite the observability analysis showing leader-follower flight to be an especially difficult task, we still manage to successfully fly for over 3 minutes with two fully autonomous followers using only on-board sensing.},
note = {de Croon, G.C.H.E. (mentor); McGuire, K.N. (graduation committee); Coppola, M. (graduation committee); Chu, Q. P. (graduation committee); Verhoeven, C.J.M. (graduation committee); Delft University of Technology (degree granting institution)},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
In this paper a range-based relative localization solution is proposed and demonstrated in practice. The approach is based on wireless range measurements between robots, along with the communication of their velocities, accelerations, yaw rates, and height. It can be implemented on many robotic platforms without the need for dedicated sensors. With respect to previous work, we remove the dependency on a common heading reference between robots. The main advantage of this is that it makes the relative localization approach independent of magnetometer readings, which are notoriously unreliable in an indoor environment. A theoretical observability analysis shows that it may also have two disadvantages: the motion of the robots must meet more stringent conditions and the relative localization method becomes more susceptible to noise on the range measurements. However, simulation results have shown that in the presence of significant magnetic disturbances that are common to indoor environments, removing the heading dependency is beneficial. We conclude the paper by implementing the heading-independent method on real Micro Aerial Vehicles (MAVs) and performing leader-follower flight in an indoor environment. Despite the observability analysis showing leader-follower flight to be an especially difficult task, we still manage to successfully fly for over 3 minutes with two fully autonomous followers using only on-board sensing. |
Máté Kisantal Deep Reinforcement Learning for Goal-directed Visual Navigation (Masters Thesis) TU Delft Aerospace Engineering; TU Delft Control & Operations, 2018, (de Croon, G.C.H.E. (mentor); van Hecke, K.G. (mentor); Delft University of Technology (degree granting institution)). @mastersthesis{uuid:07bc64ba-42e3-4aa7-ba9b-ac0ac4e0e7a1,
title = {Deep Reinforcement Learning for Goal-directed Visual Navigation},
author = {Máté Kisantal},
url = {http://resolver.tudelft.nl/uuid:07bc64ba-42e3-4aa7-ba9b-ac0ac4e0e7a1},
year = {2018},
date = {2018-01-01},
school = {TU Delft Aerospace Engineering; TU Delft Control & Operations},
abstract = {Safe navigation in a cluttered environment is a key capability for the autonomous operation of Micro Aerial Vehicles (MAVs). This work explores a (deep) Reinforcement Learning (RL) based approach for monocular vision based obstacle avoidance and goal directed navigation for MAVs in cluttered environments. We investigated this problem in the context of forest flight under the tree canopy.<br/><br/>Our focus was on training an effective and practical neural control module, that is easy to integrate into conventional control hierarchies and can extend the capabilities of existing autopilot software stacks. This module has the potential to greatly improve the autonomous capabilities of MAVs, and their applicability for many interesting real world use-cases. We demonstrated training this module in a visually highly realistic virtual forest environment, created with a state-of-the-art computer game engine.},
note = {de Croon, G.C.H.E. (mentor); van Hecke, K.G. (mentor); Delft University of Technology (degree granting institution)},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
Safe navigation in a cluttered environment is a key capability for the autonomous operation of Micro Aerial Vehicles (MAVs). This work explores a (deep) Reinforcement Learning (RL) based approach for monocular vision based obstacle avoidance and goal directed navigation for MAVs in cluttered environments. We investigated this problem in the context of forest flight under the tree canopy.<br/><br/>Our focus was on training an effective and practical neural control module, that is easy to integrate into conventional control hierarchies and can extend the capabilities of existing autopilot software stacks. This module has the potential to greatly improve the autonomous capabilities of MAVs, and their applicability for many interesting real world use-cases. We demonstrated training this module in a visually highly realistic virtual forest environment, created with a state-of-the-art computer game engine. |
Frerik Andriessen Ready for detection: Stair-detecting in depth images using spatial features and Adaboosting (Masters Thesis) TU Delft Aerospace Engineering, 2018, (Sundaramoorthy, P.P. (mentor); Cervone, A. (graduation committee); de Croon, G.C.H.E. (graduation committee); Delft University of Technology (degree granting institution)). @mastersthesis{uuid:ed1025e8-66ad-4e71-ba8e-771f511e9022,
title = {Ready for detection: Stair-detecting in depth images using spatial features and Adaboosting},
author = {Frerik Andriessen},
url = {http://resolver.tudelft.nl/uuid:ed1025e8-66ad-4e71-ba8e-771f511e9022},
year = {2018},
date = {2018-01-01},
school = {TU Delft Aerospace Engineering},
abstract = {Space exploration could be significantly aided by combining the disciplines of machine learning and computer vision, but these disciplines need to be developed further for specific space-related applications to have merit. One of the applications for space exploration is the detection of certain structures designating areas of interest. This thesis demonstrates a method of structure-detecting that is applied to staircases. In addition to incorporating certain physical features, like other algorithms have done, the proposed algorithm (Step-1) also takes into account the spatial relation between these features, in order to increase its robustness. Looking at a staircase from the front, the distances between each step become warped, as they are further away from the observer. This exponential spatial distortion is known as a ’chirp’. Step-1 tries to match a chirp-waveform to every edge along a straight line randomly drawn through an image, and based on that match classify the image as containing a staircase or not. The random lines are then weighted based on their effectiveness using Adaboost, which are finally combined to obtain a final classification. The results show potential but there are still some issues to be addressed. However, once the algorithm has been upgraded it could aid space exploration by being applied to satellite images and autonomous rovers.},
note = {Sundaramoorthy, P.P. (mentor); Cervone, A. (graduation committee); de Croon, G.C.H.E. (graduation committee); Delft University of Technology (degree granting institution)},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
Space exploration could be significantly aided by combining the disciplines of machine learning and computer vision, but these disciplines need to be developed further for specific space-related applications to have merit. One of the applications for space exploration is the detection of certain structures designating areas of interest. This thesis demonstrates a method of structure-detecting that is applied to staircases. In addition to incorporating certain physical features, like other algorithms have done, the proposed algorithm (Step-1) also takes into account the spatial relation between these features, in order to increase its robustness. Looking at a staircase from the front, the distances between each step become warped, as they are further away from the observer. This exponential spatial distortion is known as a ’chirp’. Step-1 tries to match a chirp-waveform to every edge along a straight line randomly drawn through an image, and based on that match classify the image as containing a staircase or not. The random lines are then weighted based on their effectiveness using Adaboost, which are finally combined to obtain a final classification. The results show potential but there are still some issues to be addressed. However, once the algorithm has been upgraded it could aid space exploration by being applied to satellite images and autonomous rovers. |
Shubham Vyas Uncertainty Estimation in Vision-Aided Robot Teleoperation System (Masters Thesis) TU Delft Aerospace Engineering; TU Delft Space Engineering, 2018, (Verhoeven, C.J.M. (mentor); Krueger, Thomas (mentor); Schiele, A. (mentor); Gill, E.K.A. (graduation committee); de Croon, G.C.H.E. (graduation committee); Delft University of Technology (degree granting institution)). @mastersthesis{uuid:4a03785d-8822-4548-a24a-7b23b1a4232c,
title = {Uncertainty Estimation in Vision-Aided Robot Teleoperation System},
author = {Shubham Vyas},
url = {http://resolver.tudelft.nl/uuid:4a03785d-8822-4548-a24a-7b23b1a4232c},
year = {2018},
date = {2018-01-01},
school = {TU Delft Aerospace Engineering; TU Delft Space Engineering},
abstract = {Teleoperation allows the use of human intelligence and decision making in remote tasks which are too dangerous for humans to perform. Technologies such as force feedback and haptic guidance have shown to increase task efficiency during teleoperation. In an unmodeled environment, sensors provide input for haptic guidance or present extra information about the environment to the user in order to make decisions and to perform the tasks. These sensors come with inherent errors and uncertainties which propagate through the teleoperation system. The absence of knowledge of these errors has been shown to cause deterioration in the task performance. These errors can further cause the application of forces on the environment by the robot without the knowledge of the user while using haptic guidance. Thereby, the strategies being used to increase task performance can have some adverse hidden effects. Thus, it crucial to have an understanding of the behaviour of the errors and uncertainties in the system. It is considered critical for making decisions about how the robot system can be controlled and used to manipulate objects remotely.<br/><br/>In this thesis, a novel framework for estimating the uncertainties in a vision-aided teleoperation system in real-time is introduced. The uncertainty estimate can then be used by the control system or communicated to the user. Methods to use the uncertainty estimate for haptic guidance and for user display are proposed. Furthermore, the thesis analyzes the behaviour of the uncertainties in the system and the sensitivity of the system to individual component errors. It evaluates the uncertainties in individual components of the system and implements an uncertainty model for each of them. It then provides a method to propagate these uncertainty models through the system. This results in a final uncertainty estimate in the frame of reference of interest for the task. Experiments were performed to validate the component uncertainty models, the propagation method, and the system as a whole. Additionally, an inverse of the propagation method is also conceived so as to obtain the component accuracy specification from system uncertainty requirements. This can be used in the design of future teleoperation systems.},
note = {Verhoeven, C.J.M. (mentor); Krueger, Thomas (mentor); Schiele, A. (mentor); Gill, E.K.A. (graduation committee); de Croon, G.C.H.E. (graduation committee); Delft University of Technology (degree granting institution)},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
Teleoperation allows the use of human intelligence and decision making in remote tasks which are too dangerous for humans to perform. Technologies such as force feedback and haptic guidance have shown to increase task efficiency during teleoperation. In an unmodeled environment, sensors provide input for haptic guidance or present extra information about the environment to the user in order to make decisions and to perform the tasks. These sensors come with inherent errors and uncertainties which propagate through the teleoperation system. The absence of knowledge of these errors has been shown to cause deterioration in the task performance. These errors can further cause the application of forces on the environment by the robot without the knowledge of the user while using haptic guidance. Thereby, the strategies being used to increase task performance can have some adverse hidden effects. Thus, it crucial to have an understanding of the behaviour of the errors and uncertainties in the system. It is considered critical for making decisions about how the robot system can be controlled and used to manipulate objects remotely.<br/><br/>In this thesis, a novel framework for estimating the uncertainties in a vision-aided teleoperation system in real-time is introduced. The uncertainty estimate can then be used by the control system or communicated to the user. Methods to use the uncertainty estimate for haptic guidance and for user display are proposed. Furthermore, the thesis analyzes the behaviour of the uncertainties in the system and the sensitivity of the system to individual component errors. It evaluates the uncertainties in individual components of the system and implements an uncertainty model for each of them. It then provides a method to propagate these uncertainty models through the system. This results in a final uncertainty estimate in the frame of reference of interest for the task. Experiments were performed to validate the component uncertainty models, the propagation method, and the system as a whole. Additionally, an inverse of the propagation method is also conceived so as to obtain the component accuracy specification from system uncertainty requirements. This can be used in the design of future teleoperation systems. |
Ajith Anil Meera Informative Path Planning for Search and Rescue using a UAV (Masters Thesis) TU Delft Mechanical, Maritime and Materials Engineering, 2018, (Siegwart, Roland (mentor); Wisse, M. (mentor); Popović, Marija (mentor); Millane, Alexander (mentor); Pan, W. (graduation committee); Alonso Mora, J. (graduation committee); Mohajerin Esfahani, P. (graduation committee); Delft University of Technology (degree granting institution); ETH Zürich (degree granting institution)). @mastersthesis{uuid:34ce9384-9352-41bc-99ce-2a54bd1f3361,
title = {Informative Path Planning for Search and Rescue using a UAV},
author = {Ajith Anil Meera},
url = {http://resolver.tudelft.nl/uuid:34ce9384-9352-41bc-99ce-2a54bd1f3361},
year = {2018},
date = {2018-01-01},
school = {TU Delft Mechanical, Maritime and Materials Engineering},
abstract = {Target search in an obstacle filled environment is a practically relevant challenge in robotics that has a huge impact in the society. The wide range of applications include searching for victims in a search and rescue operation, detecting weeds in precision agriculture, patrolling borders for military and navy, automated census of endangered species in a forest etc. An efficient target search algorithm provides a data acquisition platform with least human intervention, thus improving the quality of life of humans. This thesis aims at introducing a general path planning algorithm for UAVs flying at different heights in an obstacle filled environment, searching for targets in the ground field. An adaptive informative path planning (IPP) algorithm is introduced that simultaneously trade off between area coverage, field of view, height dependent sensor performance and obstacle avoidance. It plans under uncertainties in the sensor measurements at varying heights, and is robust against wrong target detections. It generates an optimal fixed horizon plan in the form of a 3D minimum-snap trajectory that maximizes the information gain in minimum flight time by providing maximum area coverage, without any collision with the obstacles. The resulting planner is modular in terms of the mapping strategy, environment complexity, different target, changes in the sensor model and optimizer used. The planner is tested against varying environmental complexities, demonstrating its capability in handling a wide range of possible environments. The planner outperforms other planners like non-adaptive IPP planner, coverage planner and random sampling planner, by demonstrating the fastest decrease in map error while flying for a fixed time budget. A proof of concept for the algorithm is provided through real experiments by running the algorithm on a UAV flying inside a lab environment, searching for targets lying on the ground. All the targets were successfully found and mapped by the algorithm, demonstrating its applicability in a real-life target search problem.},
note = {Siegwart, Roland (mentor); Wisse, M. (mentor); Popović, Marija (mentor); Millane, Alexander (mentor); Pan, W. (graduation committee); Alonso Mora, J. (graduation committee); Mohajerin Esfahani, P. (graduation committee); Delft University of Technology (degree granting institution); ETH Zürich (degree granting institution)},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
Target search in an obstacle filled environment is a practically relevant challenge in robotics that has a huge impact in the society. The wide range of applications include searching for victims in a search and rescue operation, detecting weeds in precision agriculture, patrolling borders for military and navy, automated census of endangered species in a forest etc. An efficient target search algorithm provides a data acquisition platform with least human intervention, thus improving the quality of life of humans. This thesis aims at introducing a general path planning algorithm for UAVs flying at different heights in an obstacle filled environment, searching for targets in the ground field. An adaptive informative path planning (IPP) algorithm is introduced that simultaneously trade off between area coverage, field of view, height dependent sensor performance and obstacle avoidance. It plans under uncertainties in the sensor measurements at varying heights, and is robust against wrong target detections. It generates an optimal fixed horizon plan in the form of a 3D minimum-snap trajectory that maximizes the information gain in minimum flight time by providing maximum area coverage, without any collision with the obstacles. The resulting planner is modular in terms of the mapping strategy, environment complexity, different target, changes in the sensor model and optimizer used. The planner is tested against varying environmental complexities, demonstrating its capability in handling a wide range of possible environments. The planner outperforms other planners like non-adaptive IPP planner, coverage planner and random sampling planner, by demonstrating the fastest decrease in map error while flying for a fixed time budget. A proof of concept for the algorithm is provided through real experiments by running the algorithm on a UAV flying inside a lab environment, searching for targets lying on the ground. All the targets were successfully found and mapped by the algorithm, demonstrating its applicability in a real-life target search problem. |
Fede Paredes Valles Neuromorphic Computing of Event-Based Data for High-Speed Vision-Based Navigation (Masters Thesis) TU Delft Aerospace Engineering; TU Delft Control & Simulation, 2018, (de Croon, G.C.H.E. (mentor); Scheper, K.Y.W. (mentor); Delft University of Technology (degree granting institution)). @mastersthesis{uuid:aa13959b-79b9-4dfc-b5e0-7c501d9d3e2f,
title = {Neuromorphic Computing of Event-Based Data for High-Speed Vision-Based Navigation},
author = {Fede Paredes Valles},
url = {http://resolver.tudelft.nl/uuid:aa13959b-79b9-4dfc-b5e0-7c501d9d3e2f},
year = {2018},
date = {2018-01-01},
school = {TU Delft Aerospace Engineering; TU Delft Control & Simulation},
abstract = {The combination of Spiking Neural Networks and event-based vision sensors holds the potential of highly efficient and high-bandwidth optical flow estimation. This thesis presents, to the best of the author’s knowledge, the first hierarchical spiking architecture in which motion (direction and speed) selectivity emerges in a biologically plausible unsupervised fashion from the stimuli generated with an event-based camera. A novel adaptive neuron model and Spike-Timing-Dependent Plasticity formulation are at the core of this neural network governing its spike-based processing and learning, respectively. After convergence, the neural architecture exhibits the main properties of biological visual motion systems: feature extraction and local and global motion perception. To assess the outcome of the learning, a shallow conventional Artificial Neural Network is trained to map the activation traces of the penultimate layer to the optical flow visual observables of ventral flows. The proposed solution is validated for simulated event sequences with ground truth measurements. Experimental results show that accurate estimates of these parameters can be obtained over a wide range of speeds.},
note = {de Croon, G.C.H.E. (mentor); Scheper, K.Y.W. (mentor); Delft University of Technology (degree granting institution)},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
The combination of Spiking Neural Networks and event-based vision sensors holds the potential of highly efficient and high-bandwidth optical flow estimation. This thesis presents, to the best of the author’s knowledge, the first hierarchical spiking architecture in which motion (direction and speed) selectivity emerges in a biologically plausible unsupervised fashion from the stimuli generated with an event-based camera. A novel adaptive neuron model and Spike-Timing-Dependent Plasticity formulation are at the core of this neural network governing its spike-based processing and learning, respectively. After convergence, the neural architecture exhibits the main properties of biological visual motion systems: feature extraction and local and global motion perception. To assess the outcome of the learning, a shallow conventional Artificial Neural Network is trained to map the activation traces of the penultimate layer to the optical flow visual observables of ventral flows. The proposed solution is validated for simulated event sequences with ground truth measurements. Experimental results show that accurate estimates of these parameters can be obtained over a wide range of speeds. |
Miscellaneous
|
Matej Karasek Flapping wing aerial vehicle (Miscellaneous) 2018, (A63H; B64C). @misc{b2614b5ea51048f78723978b6e098d03,
title = {Flapping wing aerial vehicle},
author = {Matej Karasek},
url = {https://research.tudelft.nl/en/publications/flapping-wing-aerial-vehicle},
year = {2018},
date = {2018-01-01},
note = {A63H; B64C},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Marija Popovic; Teresa Vidal-Calleja; Gregory Hitz; Jen Jen Chung; Inkyu Sa; Roland Siegwart; Juan Nieto An informative path planning framework for UAV-based terrain monitoring (Miscellaneous) 2018. @misc{1809.03870,
title = {An informative path planning framework for UAV-based terrain monitoring},
author = {Marija Popovic and Teresa Vidal-Calleja and Gregory Hitz and Jen Jen Chung and Inkyu Sa and Roland Siegwart and Juan Nieto},
url = {https://arxiv.org/abs/1809.03870},
year = {2018},
date = {2018-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Inkyu Sa; Marija Popovic; Raghav Khanna; Zetao Chen; Philipp Lottes; Frank Liebisch; Juan Nieto; Cyrill Stachniss; Achim Walter; Roland Siegwart WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming (Miscellaneous) 2018. @misc{1808.00100,
title = {WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming},
author = {Inkyu Sa and Marija Popovic and Raghav Khanna and Zetao Chen and Philipp Lottes and Frank Liebisch and Juan Nieto and Cyrill Stachniss and Achim Walter and Roland Siegwart},
url = {https://arxiv.org/abs/1808.00100},
year = {2018},
date = {2018-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Ho Seok Ahn; Feras Dayoub; Marija Popovic; Bruce MacDonald; Roland Siegwart; Inkyu Sa An Overview of Perception Methods for Horticultural Robots: From Pollination to Harvest (Miscellaneous) 2018. @misc{1807.03124,
title = {An Overview of Perception Methods for Horticultural Robots: From Pollination to Harvest},
author = {Ho Seok Ahn and Feras Dayoub and Marija Popovic and Bruce MacDonald and Roland Siegwart and Inkyu Sa},
url = {https://arxiv.org/abs/1807.03124},
year = {2018},
date = {2018-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Takahiro Miki; Marija Popovic; Abel Gawel; Gregory Hitz; Roland Siegwart Multi-agent Time-based Decision-making for the Search and Action Problem (Miscellaneous) 2018. @misc{1802.10147,
title = {Multi-agent Time-based Decision-making for the Search and Action Problem},
author = {Takahiro Miki and Marija Popovic and Abel Gawel and Gregory Hitz and Roland Siegwart},
url = {https://arxiv.org/abs/1802.10147},
year = {2018},
date = {2018-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Matej Karasek Flapping wing aerial vehicle (Miscellaneous) 2018, (A63H; B64C). @misc{023ee0b71d17412d8c1f23e865e7a22e,
title = {Flapping wing aerial vehicle},
author = {Matej Karasek},
url = {https://research.tudelft.nl/en/publications/flapping-wing-aerial-vehicle-2},
year = {2018},
date = {2018-01-01},
note = {A63H; B64C},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Andries Koopmans; Bart Remes; Matej Karasek Cam transmission device for converting input rotary motion into output reciprocating motion, driving device comprising the transmission device, and aerial vehicle comprising wings driven by the driving device (Miscellaneous) 2018, (F16H; B64C). @misc{5ed5e357f09b4efbb41eec5d38b28f7b,
title = {Cam transmission device for converting input rotary motion into output reciprocating motion, driving device comprising the transmission device, and aerial vehicle comprising wings driven by the driving device},
author = {Andries Koopmans and Bart Remes and Matej Karasek},
url = {https://research.tudelft.nl/en/publications/cam-transmission-device-for-converting-input-rotary-motion-into-o},
year = {2018},
date = {2018-01-01},
note = {F16H; B64C},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Bart Remes Aerial vehicle with angularly displaced propulsion units (Miscellaneous) 2018, (B64D; B64C). @misc{8baf7fd7f1f346c3ba21a703d4d75803,
title = {Aerial vehicle with angularly displaced propulsion units},
author = {Bart Remes},
url = {https://research.tudelft.nl/en/publications/aerial-vehicle-with-angularly-displaced-propulsion-units},
year = {2018},
date = {2018-01-01},
note = {B64D; B64C},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Andries Koopmans; Bart Remes; Matej Karasek Partial engagement member transmission device for converting input rotary motion into output reciprocating motion, driving device comprising the transmission device, and aerial vehicle comprising wings driven by the driving device (Miscellaneous) 2018, (F16H; B64C). @misc{debc5693be024f73aa817a8ed308c449,
title = {Partial engagement member transmission device for converting input rotary motion into output reciprocating motion, driving device comprising the transmission device, and aerial vehicle comprising wings driven by the driving device},
author = {Andries Koopmans and Bart Remes and Matej Karasek},
url = {https://research.tudelft.nl/en/publications/partial-engagement-member-transmission-device-for-converting-inpu},
year = {2018},
date = {2018-01-01},
note = {F16H; B64C},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Kimberly McGuire; Guido Croon; Karl Tuyls A Comparative Study of Bug Algorithms for Robot Navigation (Miscellaneous) 2018. @misc{1808.05050,
title = {A Comparative Study of Bug Algorithms for Robot Navigation},
author = {Kimberly McGuire and Guido Croon and Karl Tuyls},
url = {https://arxiv.org/abs/1808.05050},
year = {2018},
date = {2018-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Guido Croon; Christophe De Wagter Learning what is above and what is below: horizon approach to monocular obstacle detection (Miscellaneous) 2018. @misc{1806.08007,
title = {Learning what is above and what is below: horizon approach to monocular obstacle detection},
author = {Guido Croon and Christophe De Wagter},
url = {https://arxiv.org/abs/1806.08007},
year = {2018},
date = {2018-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Steven Helm; Kimberly N. McGuire; Mario Coppola; Guido C. H. E. Croon On-board Range-based Relative Localization for Micro Aerial Vehicles in indoor Leader-Follower Flight (Miscellaneous) 2018. @misc{1805.07171,
title = {On-board Range-based Relative Localization for Micro Aerial Vehicles in indoor Leader-Follower Flight},
author = {Steven Helm and Kimberly N. McGuire and Mario Coppola and Guido C. H. E. Croon},
url = {https://arxiv.org/abs/1805.07171},
year = {2018},
date = {2018-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Mario Coppola; Jian Guo; Eberhard K. A. Gill; Guido C. H. E. Croon Provable Emergent Pattern Formation by a Swarm of Anonymous, Homogeneous, Non-Communicating, Reactive Robots with Limited Relative Sensing and no Global Knowledge or Positioning (Miscellaneous) 2018. @misc{1804.06827,
title = {Provable Emergent Pattern Formation by a Swarm of Anonymous, Homogeneous, Non-Communicating, Reactive Robots with Limited Relative Sensing and no Global Knowledge or Positioning},
author = {Mario Coppola and Jian Guo and Eberhard K. A. Gill and Guido C. H. E. Croon},
url = {https://arxiv.org/abs/1804.06827},
year = {2018},
date = {2018-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Diogo Martins; Kevin Hecke; Guido Croon Fusion of stereo and still monocular depth estimates in a self-supervised learning context (Miscellaneous) 2018. @misc{1803.07512,
title = {Fusion of stereo and still monocular depth estimates in a self-supervised learning context},
author = {Diogo Martins and Kevin Hecke and Guido Croon},
url = {https://arxiv.org/abs/1803.07512},
year = {2018},
date = {2018-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
S. Tijmons; K. Lamers Flapping Wing MAV (Miscellaneous) 2018, (B64C). @misc{3d8b515163644ec29ed8ce29d970d0ea,
title = {Flapping Wing MAV},
author = {S. Tijmons and K. Lamers},
url = {https://research.tudelft.nl/en/publications/flapping-wing-mav},
year = {2018},
date = {2018-01-01},
note = {B64C},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
B. Tijmons; K. G. Hecke; S. Tijmons Insect elimination system and use thereof (Miscellaneous) 2018, (B64C). @misc{f136264fb7d646e08fd1d4e40941ffdc,
title = {Insect elimination system and use thereof},
author = {B. Tijmons and K. G. Hecke and S. Tijmons},
url = {https://research.tudelft.nl/en/publications/insect-elimination-system-and-use-thereof},
year = {2018},
date = {2018-01-01},
note = {B64C},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
N. S. O. Klink; Rick Ruisink; B. D. W. Remes Landing station for UAVs, and container comprising the landing station (Miscellaneous) 2018, (B64F). @misc{ec3cc700605c42e990be6defbd7df499,
title = {Landing station for UAVs, and container comprising the landing station},
author = {N. S. O. Klink and Rick Ruisink and B. D. W. Remes},
url = {https://research.tudelft.nl/en/publications/landing-station-for-uavs-and-container-comprising-the-landing-sta},
year = {2018},
date = {2018-01-01},
note = {B64F},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Matej Karasek Flapping wing aerial vehicle (Miscellaneous) 2018, (A63H; B64C). @misc{b2614b5ea51048f78723978b6e098d03b,
title = {Flapping wing aerial vehicle},
author = {Matej Karasek},
url = {https://research.tudelft.nl/en/publications/flapping-wing-aerial-vehicle},
year = {2018},
date = {2018-01-01},
note = {A63H; B64C},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Kevin Hecke Monocular obstacle avoidance with persistent Self-Supervised Learning (Miscellaneous) 2018. @misc{vanhecke2018data,
title = {Monocular obstacle avoidance with persistent Self-Supervised Learning},
author = {Kevin Hecke},
url = {https://data.4tu.nl/articles/dataset/Monocular_obstacle_avoidance_with_persistent_Self-Supervised_Learning/12709508},
doi = {10.4121/uuid:a3599d11-d56a-4402-93f8-2e7c22cf5dab},
year = {2018},
date = {2018-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
PhD Theses
|
Ewoud Smeur Incremental Control of Hybrid Micro Air Vehicles (PhD Thesis) Delft University of Technology, 2018, ISBN: 978-94-6186-973-9. @phdthesis{23c338a18b3440a689e9997adbdafd75,
title = {Incremental Control of Hybrid Micro Air Vehicles},
author = {Ewoud Smeur},
url = {https://research.tudelft.nl/en/publications/incremental-control-of-hybrid-micro-air-vehicles},
doi = {10.4233/uuid:23c338a1-8b34-40a6-89e9-997adbdafd75},
isbn = {978-94-6186-973-9},
year = {2018},
date = {2018-11-05},
school = {Delft University of Technology},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
|
Sophie Armanini Identification of time-varying models for flapping-wing micro aerial vehicles (PhD Thesis) Delft University of Technology, 2018, ISBN: 978-94-6186-895-4. @phdthesis{37be45913e024ad3b80030bf41a85f1c,
title = {Identification of time-varying models for flapping-wing micro aerial vehicles},
author = {Sophie Armanini},
url = {https://research.tudelft.nl/en/publications/identification-of-time-varying-models-for-flapping-wing-micro-aer},
doi = {10.4233/uuid:37be4591-3e02-4ad3-b800-30bf41a85f1c},
isbn = {978-94-6186-895-4},
year = {2018},
date = {2018-01-01},
school = {Delft University of Technology},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
|
2017
|
Journal Articles
|
Kirk Scheper; Guido Croon; B. J. Pijnacker Hordijk Vertical Landing for Micro Air Vehicles using Event-Based Optical Flow (Journal Article) In: Journal of Field Robotics, vol. 35, no. 1, pp. 69–90, 2017, ISSN: 1556-4967. @article{a00fe842992c47199eb7c04cf26e211a,
title = {Vertical Landing for Micro Air Vehicles using Event-Based Optical Flow},
author = {Kirk Scheper and Guido Croon and B. J. Pijnacker Hordijk},
url = {https://research.tudelft.nl/en/publications/vertical-landing-for-micro-air-vehicles-using-event-based-optical},
doi = {10.1002/rob.21764},
issn = {1556-4967},
year = {2017},
date = {2017-12-15},
journal = {Journal of Field Robotics},
volume = {35},
number = {1},
pages = {69–90},
publisher = {Wiley},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Joao Paulo Silva; C. De Wagter; G. C. H. E. Croon Quadrotor Thrust Vectoring Control with Time Optimal Trajectory Planning in Constant Wind Fields (Journal Article) In: Unmanned Systems, vol. 6, no. 1, pp. 1–23, 2017, ISSN: 2301-3850. @article{6edc432c070142e8aa5096eb8691f068,
title = {Quadrotor Thrust Vectoring Control with Time Optimal Trajectory Planning in Constant Wind Fields},
author = {Joao Paulo Silva and C. De Wagter and G. C. H. E. Croon},
url = {https://research.tudelft.nl/en/publications/quadrotor-thrust-vectoring-control-with-time-optimal-trajectory-p},
doi = {10.1142/S2301385018500024},
issn = {2301-3850},
year = {2017},
date = {2017-11-14},
journal = {Unmanned Systems},
volume = {6},
number = {1},
pages = {1–23},
publisher = {World Scientific Publishing},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Hann Woei Ho; Guido C. H. E. Croon; Qiping Chu Distance and velocity estimation using optical flow from a monocular camera (Journal Article) In: International Journal of Micro Air Vehicles, vol. 9, no. 3, pp. 198–208, 2017, ISSN: 1756-8293. @article{a0abc18b3ee04b4eaac9c3907a07dd49,
title = {Distance and velocity estimation using optical flow from a monocular camera},
author = {Hann Woei Ho and Guido C. H. E. Croon and Qiping Chu},
url = {https://research.tudelft.nl/en/publications/distance-and-velocity-estimation-using-optical-flow-from-a-monocu-2},
doi = {10.1177/1756829317695566},
issn = {1756-8293},
year = {2017},
date = {2017-09-01},
journal = {International Journal of Micro Air Vehicles},
volume = {9},
number = {3},
pages = {198–208},
publisher = {Multi-Science Publishing Co. Ltd},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Sjoerd Tijmons; Guido C. H. E. De Croon; Bart D. W. Remes; Christophe De Wagter; Max Mulder Obstacle Avoidance Strategy using Onboard Stereo Vision on a Flapping Wing MAV (Journal Article) In: IEEE Transactions on Robotics, vol. 33, no. 4, pp. 858–874, 2017, ISSN: 1552-3098. @article{d37e387eb3e94865a663fce594159d89,
title = {Obstacle Avoidance Strategy using Onboard Stereo Vision on a Flapping Wing MAV},
author = {Sjoerd Tijmons and Guido C. H. E. De Croon and Bart D. W. Remes and Christophe De Wagter and Max Mulder},
url = {https://research.tudelft.nl/en/publications/obstacle-avoidance-strategy-using-onboard-stereo-vision-on-a-flap},
doi = {10.1109/TRO.2017.2683530},
issn = {1552-3098},
year = {2017},
date = {2017-08-01},
journal = {IEEE Transactions on Robotics},
volume = {33},
number = {4},
pages = {858–874},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Christophe Wagter; Ewoud Smeur Control of a hybrid helicopter with wings (Journal Article) In: International Journal of Micro Air Vehicles, vol. 9, no. 3, pp. 209–217, 2017, ISSN: 1756-8293. @article{13873e1a7f6d474e9b0d948434e1c7e7,
title = {Control of a hybrid helicopter with wings},
author = {Christophe Wagter and Ewoud Smeur},
url = {https://research.tudelft.nl/en/publications/control-of-a-hybrid-helicopter-with-wings-2},
doi = {10.1177/1756829317702674},
issn = {1756-8293},
year = {2017},
date = {2017-05-11},
journal = {International Journal of Micro Air Vehicles},
volume = {9},
number = {3},
pages = {209–217},
publisher = {Multi-Science Publishing Co. Ltd},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
S F Armanini; M Karásek; G C H E de Croon; C C de Visser Onboard/Offboard Sensor Fusion for High-Fidelity Flapping-Wing Robot Flight Data (Journal Article) In: Journal of Guidance, Control, and Dynamics, pp. 1–12, 2017, ISSN: 0731-5090. @article{Armanini2017,
title = {Onboard/Offboard Sensor Fusion for High-Fidelity Flapping-Wing Robot Flight Data},
author = {S F Armanini and M Karásek and G C H E de Croon and C C de Visser},
url = {https://arc.aiaa.org/doi/10.2514/1.G002527},
doi = {10.2514/1.G002527},
issn = {0731-5090},
year = {2017},
date = {2017-04-01},
journal = {Journal of Guidance, Control, and Dynamics},
pages = {1--12},
publisher = {American Institute of Aeronautics and Astronautics},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Kimberly Mcguire; Guido Croon; Christophe Wagter; Karl Tuyls; Hilbert Kappen Efficient Optical Flow and Stereo Vision for Velocity Estimation and Obstacle Avoidance on an Autonomous Pocket Drone (Journal Article) In: IEEE Robotics and Automation Letters, vol. 2, no. 2, pp. 1070 – 1076, 2017, ISSN: 2377-3766. @article{caf22050b8fd469f9b2d337fcd7b4571,
title = {Efficient Optical Flow and Stereo Vision for Velocity Estimation and Obstacle Avoidance on an Autonomous Pocket Drone},
author = {Kimberly Mcguire and Guido Croon and Christophe Wagter and Karl Tuyls and Hilbert Kappen},
url = {https://research.tudelft.nl/en/publications/efficient-optical-flow-and-stereo-vision-for-velocity-estimation-},
doi = {10.1109/LRA.2017.2658940},
issn = {2377-3766},
year = {2017},
date = {2017-04-01},
journal = {IEEE Robotics and Automation Letters},
volume = {2},
number = {2},
pages = {1070 – 1076},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Yanghai Nan; M. Karasek; Mohamed Esseghir Lalami; André Preumont Experimental optimization of wing shape for a hummingbird-like flapping wing micro air vehicle (Journal Article) In: Bioinspiration & Biomimetics: learning from nature, vol. 12, no. 2, 2017, ISSN: 1748-3182. @article{8d129e21d79d4e9b9ab930f21f35f987,
title = {Experimental optimization of wing shape for a hummingbird-like flapping wing micro air vehicle},
author = {Yanghai Nan and M. Karasek and Mohamed Esseghir Lalami and André Preumont},
url = {https://research.tudelft.nl/en/publications/experimental-optimization-of-wing-shape-for-a-hummingbird-like-fl},
doi = {10.1088/1748-3190/aa5c9e},
issn = {1748-3182},
year = {2017},
date = {2017-03-06},
journal = {Bioinspiration & Biomimetics: learning from nature},
volume = {12},
number = {2},
publisher = {IOP Publishing},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Rik Bähnemann; Michael Pantic; Marija Popović; Dominik Schindler; Marco Tranzatto; Mina Kamel; Marius Grimm; Jakob Widauer; Roland Siegwart; Juan Nieto The ETH-MAV Team in the MBZ International Robotics Challenge (Journal Article) In: 2017. @article{1710.08275,
title = {The ETH-MAV Team in the MBZ International Robotics Challenge},
author = {Rik Bähnemann and Michael Pantic and Marija Popović and Dominik Schindler and Marco Tranzatto and Mina Kamel and Marius Grimm and Jakob Widauer and Roland Siegwart and Juan Nieto},
url = {https://arxiv.org/abs/1710.08275},
doi = {10.1002/rob.21824},
year = {2017},
date = {2017-01-01},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Inkyu Sa; Mina Kamel; Michael Burri; Michael Bloesch; Raghav Khanna; Marija Popovic; Juan Nieto; Roland Siegwart Build Your Own Visual-Inertial Drone: A Cost-Effective and Open-Source Autonomous Drone (Journal Article) In: 2017. @article{1708.06652,
title = {Build Your Own Visual-Inertial Drone: A Cost-Effective and Open-Source Autonomous Drone},
author = {Inkyu Sa and Mina Kamel and Michael Burri and Michael Bloesch and Raghav Khanna and Marija Popovic and Juan Nieto and Roland Siegwart},
url = {https://arxiv.org/abs/1708.06652},
doi = {10.1109/MRA.2017.2771326},
year = {2017},
date = {2017-01-01},
howpublished = {IEEE Robotics & Automation Magazine 2017},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Mustafa Perçin; Bas Oudheusden; Bart Remes Flow Structures Around a Flapping-Wing Micro Air Vehicle Performing a Clap-and-Peel Motion (Journal Article) In: AIAA Journal: devoted to aerospace research and development, vol. 55, no. 4, pp. 1251–1264, 2017, ISSN: 0001-1452. @article{9695a151f77a422ab439dec887baa731,
title = {Flow Structures Around a Flapping-Wing Micro Air Vehicle Performing a Clap-and-Peel Motion},
author = {Mustafa Perçin and Bas Oudheusden and Bart Remes},
url = {https://research.tudelft.nl/en/publications/flow-structures-around-a-flapping-wing-micro-air-vehicle-performi},
doi = {10.2514/1.J055146},
issn = {0001-1452},
year = {2017},
date = {2017-01-01},
journal = {AIAA Journal: devoted to aerospace research and development},
volume = {55},
number = {4},
pages = {1251–1264},
publisher = {American Institute of Aeronautics and Astronautics Inc. (AIAA)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Shuanghou Deng; Mustafa Perçin; Bas Oudheusden; Hester Bijl; Bart Remes; T Xiao Numerical Simulation of a Flexible X-Wing Flapping-Wing Micro Air Vehicle (Journal Article) In: AIAA Journal: devoted to aerospace research and development, vol. 55, no. 7, pp. 2295–2306, 2017, ISSN: 0001-1452. @article{23b9e8e2aab342028ec7051a1be66034,
title = {Numerical Simulation of a Flexible X-Wing Flapping-Wing Micro Air Vehicle},
author = {Shuanghou Deng and Mustafa Perçin and Bas Oudheusden and Hester Bijl and Bart Remes and T Xiao},
url = {https://research.tudelft.nl/en/publications/numerical-simulation-of-a-flexible-x-wing-flapping-wing-micro-air},
doi = {10.2514/1.J054816},
issn = {0001-1452},
year = {2017},
date = {2017-01-01},
journal = {AIAA Journal: devoted to aerospace research and development},
volume = {55},
number = {7},
pages = {2295–2306},
publisher = {American Institute of Aeronautics and Astronautics Inc. (AIAA)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Sophie Armanini; Matej Karasek; Guido Croon; Coen Visser Onboard/Offboard Sensor Fusion for High-Fidelity Flapping-Wing Robot Flight Data (Journal Article) In: Journal of Guidance, Control, and Dynamics: devoted to the technology of dynamics and control, vol. 40, no. 8, pp. 2121–2132, 2017, ISSN: 0731-5090. @article{bf93134a1b2b4ab8878f69a9130e0522,
title = {Onboard/Offboard Sensor Fusion for High-Fidelity Flapping-Wing Robot Flight Data},
author = {Sophie Armanini and Matej Karasek and Guido Croon and Coen Visser},
url = {https://research.tudelft.nl/en/publications/onboardoffboard-sensor-fusion-for-high-fidelity-flapping-wing-rob},
doi = {10.2514/1.G002527},
issn = {0731-5090},
year = {2017},
date = {2017-01-01},
journal = {Journal of Guidance, Control, and Dynamics: devoted to the technology of dynamics and control},
volume = {40},
number = {8},
pages = {2121–2132},
publisher = {American Institute of Aeronautics and Astronautics Inc. (AIAA)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Kirk Scheper; Guido Croon Abstraction, Sensory-Motor Coordination, and the Reality Gap in Evolutionary Robotics (Journal Article) In: Artificial Life, vol. 23, no. 2, pp. 124–141, 2017, ISSN: 1064-5462. @article{1d42dbaa10b44d63bd05b3cc966659e5,
title = {Abstraction, Sensory-Motor Coordination, and the Reality Gap in Evolutionary Robotics},
author = {Kirk Scheper and Guido Croon},
url = {https://research.tudelft.nl/en/publications/abstraction-sensory-motor-coordination-and-the-reality-gap-in-evo},
doi = {10.1162/ARTL_a_00227},
issn = {1064-5462},
year = {2017},
date = {2017-01-01},
journal = {Artificial Life},
volume = {23},
number = {2},
pages = {124–141},
publisher = {MIT Press Journals},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Kirk YW Scheper; Guido CHE de Croon Abstraction, Sensory-Motor Coordination, and the Reality Gap in Evolutionary Robotics (Journal Article) In: Artificial Life, 2017. @article{scheper2017abstraction,
title = {Abstraction, Sensory-Motor Coordination, and the Reality Gap in Evolutionary Robotics},
author = {Kirk YW Scheper and Guido CHE de Croon},
year = {2017},
date = {2017-01-01},
journal = {Artificial Life},
publisher = {MIT Press},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
data
|
Bas Pijnacker Hordijk; Kirk Scheper; Guido De Croon Vertical Landing for Micro Air Vehicles using Event-Based Optical Flow Dataset (data) 2017. @data{10.34894/qizxrf,
title = {Vertical Landing for Micro Air Vehicles using Event-Based Optical Flow Dataset},
author = {Bas Pijnacker Hordijk and Kirk Scheper and Guido De Croon},
url = {https://dataverse.nl/citation?persistentId=doi:10.34894/QIZXRF},
doi = {10.34894/QIZXRF},
year = {2017},
date = {2017-01-01},
publisher = {DataverseNL},
keywords = {},
pubstate = {published},
tppubtype = {data}
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|
Proceedings Articles
|
Kimberly Mcguire; Mario Coppola; Christophe Wagter; Guido Croon Towards Autonomous Navigation of Multiple Pocket-Drones in Real-World Environments (Proceedings Article) In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 244–249, 2017, ISBN: 978-1-5386-2682-5. @inproceedings{4e97ce0f9fc94b058b9348be875c81f0,
title = {Towards Autonomous Navigation of Multiple Pocket-Drones in Real-World Environments},
author = {Kimberly Mcguire and Mario Coppola and Christophe Wagter and Guido Croon},
url = {https://research.tudelft.nl/en/publications/towards-autonomous-navigation-of-multiple-pocket-drones-in-real-w},
doi = {10.1109/IROS.2017.8202164},
isbn = {978-1-5386-2682-5},
year = {2017},
date = {2017-12-14},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
pages = {244–249},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Diana Olejnik; Adam Wojciech Łukomski Analysis of a mechanical resonance in the flapping wing actuation (Proceedings Article) In: 2017 22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017, pp. 751–755, Institute of Electrical and Electronics Engineers (IEEE), United States, 2017, (22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017 ; Conference date: 28-08-2017 Through 31-08-2017). @inproceedings{4fa4820a4b4043d6a435ef0608054ddf,
title = {Analysis of a mechanical resonance in the flapping wing actuation},
author = {Diana Olejnik and Adam Wojciech Łukomski},
url = {https://research.tudelft.nl/en/publications/analysis-of-a-mechanical-resonance-in-the-flapping-wing-actuation},
doi = {10.1109/MMAR.2017.8046922},
year = {2017},
date = {2017-09-19},
booktitle = {2017 22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017},
pages = {751–755},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
address = {United States},
note = {22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017 ; Conference date: 28-08-2017 Through 31-08-2017},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Ewoud Smeur; Daan Höppener; Christophe De Wagter Prioritized Control Allocation for Quadrotors Subject to Saturation (Proceedings Article) In: de Plinval J.-M. Moschetta G. Hattenberger, H. (Ed.): International Micro Air Vehicle Conference and Flight Competition 2017, pp. 37–43, 2017, (9th international micro air vehicles : Conference and flight competition, IMAV 2017 ; Conference date: 18-09-2017 Through 21-09-2017). @inproceedings{54c4659a3a6d4d44873daec6ae5e2376,
title = {Prioritized Control Allocation for Quadrotors Subject to Saturation},
author = {Ewoud Smeur and Daan Höppener and Christophe De Wagter},
editor = {H. de Plinval J.-M. Moschetta G. Hattenberger},
url = {https://research.tudelft.nl/en/publications/prioritized-control-allocation-for-quadrotors-subject-to-saturati},
year = {2017},
date = {2017-09-18},
booktitle = {International Micro Air Vehicle Conference and Flight Competition 2017},
pages = {37–43},
note = {9th international micro air vehicles : Conference and flight competition, IMAV 2017 ; Conference date: 18-09-2017 Through 21-09-2017},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Elisabeth van der Sman; Ewoud Smeur; Bart Remes; Christophe De Wagter; Qiping Chu Incremental Nonlinear Dynamic Inversion and Multihole Pressure Probes for Disturbance Rejection Control of Fixed-wing Micro Air Vehicles (Proceedings Article) In: de Plinval J.-M. Moschetta G. Hattenberger, H. (Ed.): International Micro Air Vehicle Conference and Flight Competition 2017, pp. 111–120, 2017, (9th international micro air vehicles ; Conference date: 18-09-2017 Through 21-09-2017). @inproceedings{0c71106fcd75448bb4881e417d916647,
title = {Incremental Nonlinear Dynamic Inversion and Multihole Pressure Probes for Disturbance Rejection Control of Fixed-wing Micro Air Vehicles},
author = {Elisabeth van der Sman and Ewoud Smeur and Bart Remes and Christophe De Wagter and Qiping Chu},
editor = {H. de Plinval J.-M. Moschetta G. Hattenberger},
url = {https://research.tudelft.nl/en/publications/incremental-nonlinear-dynamic-inversion-and-multihole-pressure-pr},
year = {2017},
date = {2017-09-18},
booktitle = {International Micro Air Vehicle Conference and Flight Competition 2017},
pages = {111–120},
note = {9th international micro air vehicles ; Conference date: 18-09-2017 Through 21-09-2017},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Ewoud Smeur; Daan H ö; Christophe De Wagter Prioritized Control Allocation for Quadrotors Subject to Saturation (Proceedings Article) In: International Micro Air Vehicle Conference and Flight Competition 2017, pp. 37–43, Toulouse, France, 2017. @inproceedings{smeur2017,
title = {Prioritized Control Allocation for Quadrotors Subject to Saturation},
author = {Ewoud Smeur and Daan H ö and Christophe De Wagter},
year = {2017},
date = {2017-09-18},
booktitle = {International Micro Air Vehicle Conference and Flight Competition 2017},
pages = {37--43},
address = {Toulouse, France},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Elisabeth van der Sman; Ewoud Smeur; Bart Remes; Christophe De Wagter; Qiping Chu Incremental Nonlinear Dynamic Inversion and Multihole Pressure Probes for Disturbance Rejection Control of Fixed-wing Micro Air Vehicles (Proceedings Article) In: de J.-M. Moschetta G. Hattenberger, Plinval H (Ed.): International Micro Air Vehicle Conference and Flight Competition 2017, pp. 111–120, Toulouse, France, 2017. @inproceedings{vandersman2017,
title = {Incremental Nonlinear Dynamic Inversion and Multihole Pressure Probes for Disturbance Rejection Control of Fixed-wing Micro Air Vehicles},
author = {Elisabeth van der Sman and Ewoud Smeur and Bart Remes and Christophe De Wagter and Qiping Chu},
editor = {Plinval H de J.-M. Moschetta G. Hattenberger},
year = {2017},
date = {2017-09-18},
booktitle = {International Micro Air Vehicle Conference and Flight Competition 2017},
pages = {111--120},
address = {Toulouse, France},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
J. V. Caetano; S. F. Armanini; M. Karásek In-flight data acquisition and flight testing for system identification of flapping-wing MAVs (Proceedings Article) In: 2017 International Conference on Unmanned Aircraft Systems, ICUAS 2017, pp. 646–655, Institute of Electrical and Electronics Engineers (IEEE), United States, 2017, (2017 International Conference on Unmanned Aircraft Systems, ICUAS 2017 ; Conference date: 13-06-2017 Through 16-06-2017). @inproceedings{03792d0440fd420c8edb7bb515b196ba,
title = {In-flight data acquisition and flight testing for system identification of flapping-wing MAVs},
author = {J. V. Caetano and S. F. Armanini and M. Karásek},
url = {https://research.tudelft.nl/en/publications/in-flight-data-acquisition-and-flight-testing-for-system-identifi},
doi = {10.1109/ICUAS.2017.7991452},
year = {2017},
date = {2017-07-25},
booktitle = {2017 International Conference on Unmanned Aircraft Systems, ICUAS 2017},
pages = {646–655},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
address = {United States},
note = {2017 International Conference on Unmanned Aircraft Systems, ICUAS 2017 ; Conference date: 13-06-2017 Through 16-06-2017},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Whereas insects seem to control their flight effortlessly with the help of optical flow, robots that attempt to do the same run into problems. We propose as a solution a learning process that allows robots to see distances by means of visual appearance (colors, textures, shapes). Would it be possible that insects do the same?
