We introduce a novel obstacle avoidance pipeline named Memory-Augmented Varying-speed Reinforcement Learning (MAVRL). MAVRL utilizes depth maps, along with the drone and target’s states as …
Category: News
Brief: First place at the outdoor competition, first place at the indoor competition, and the best paper award!🥇🥇🥇 The MAVLab and BioMorphic Lab were at …
medegefinancierd is door de eu The TUDelft MAVlab is pleased to announce together with the municipalities of Katwijk and Wassenaar, the Central Government Real Estate …
Inspired by how ants visually recognize their environment and count their steps to navigate back home, MAVLab researchers have developed an insect-inspired navigation strategy for …
In collaboration with ESA’s Advanced Concepts Team, we published our work on end-to-end guidance and control networks in the June 2024 issue of Science Robotics. …
Our work on fully neuromorphic vision and control for autonomous drone flight has been published in the Science Robotics May 2024 issue. In this work, …
The work from PhD candidate Liming Zheng and Assistant Professor Salua Hamaza from the BioMorphic Intelligence Lab was published in the journal of IEEE Robotics and Automation …
With an escalating demand for quadcopters in emergency response, inspection and delivery, the need for speed and energy efficiency is paramount. However, developing autonomous systems …
Birds display remarkable adaptability in harnessing their surroundings for efficient flight, exemplified by the ingenious behavior observed in Kestrels. These birds employ a unique technique …
In September, the MAVLab was at the International Micro Air Vehicle (IMAV) Conference and Competition in Aachen! The IMAV is a special competition, because it …