Zobrazeno 1 - 10
of 262
pro vyhledávání: '"de Croon, Guido"'
Spiking neural networks (SNNs) for event-based optical flow are claimed to be computationally more efficient than their artificial neural networks (ANNs) counterparts, but a fair comparison is missing in the literature. In this work, we propose an ev
Externí odkaz:
http://arxiv.org/abs/2407.20421
Relative localization (RL) is essential for the successful operation of micro air vehicle (MAV) swarms. Achieving accurate 3-D RL in infrastructure-free and GPS-denied environments with only distance information is a challenging problem that has not
Externí odkaz:
http://arxiv.org/abs/2405.18234
Insects have long been recognized for their ability to navigate and return home using visual cues from their nest's environment. However, the precise mechanism underlying this remarkable homing skill remains a subject of ongoing investigation. Drawin
Externí odkaz:
http://arxiv.org/abs/2405.03827
Motion detection is a primary task required for robotic systems to perceive and navigate in their environment. Proposed in the literature bioinspired neuromorphic Time-Difference Encoder (TDE-2) combines event-based sensors and processors with spikin
Externí odkaz:
http://arxiv.org/abs/2402.11662
Many existing obstacle avoidance algorithms overlook the crucial balance between safety and agility, especially in environments of varying complexity. In our study, we introduce an obstacle avoidance pipeline based on reinforcement learning. This pip
Externí odkaz:
http://arxiv.org/abs/2402.08381
Overactuated Tilt Rotor Unmanned Aerial Vehicles are renowned for exceptional wind resistance and a broad operational range, which poses complex control challenges due to non-affine dynamics. Traditional solutions employ multi-state switched logic co
Externí odkaz:
http://arxiv.org/abs/2311.09185
In recent years, Artificial Neural Networks (ANN) have become a standard in robotic control. However, a significant drawback of large-scale ANNs is their increased power consumption. This becomes a critical concern when designing autonomous aerial ve
Externí odkaz:
http://arxiv.org/abs/2309.12937
Utilizing wind hovering techniques of soaring birds can save energy expenditure and improve the flight endurance of micro air vehicles (MAVs). Here, we present a novel method for fully autonomous orographic soaring without a priori knowledge of the w
Externí odkaz:
http://arxiv.org/abs/2308.00565
We present a novel controller for fixed-wing UAVs that enables autonomous soaring in an orographic wind field, extending flight endurance. Our method identifies soaring regions and addresses position control challenges by introducing a target gradien
Externí odkaz:
http://arxiv.org/abs/2305.13891
Autor:
Izzo, Dario, Blazquez, Emmanuel, Ferede, Robin, Origer, Sebastien, De Wagter, Christophe, de Croon, Guido C. H. E.
Spacecraft and drones aimed at exploring our solar system are designed to operate in conditions where the smart use of onboard resources is vital to the success or failure of the mission. Sensorimotor actions are thus often derived from high-level, q
Externí odkaz:
http://arxiv.org/abs/2305.13078