17 citations · 38 across the 14 of their papers we have counts for
14 papers
Event-based Optical Flow on Neuromorphic Processor: ANN vs. SNN Comparison based on Activation Sparsification
Yingfu Xu, Guangzhi Tang, Amirreza Yousefzadeh +2
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 c…
Direct learning of home vector direction for insect-inspired robot navigation
Michiel Firlefyn, Jesse Hagenaars, Guido de Croon
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 rema…
Evolving Spiking Neural Networks to Mimic PID Control for Autonomous Blimps
Tim Burgers, Stein Stroobants, Guido de Croon
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 consumptio…
AOSoar: Autonomous Orographic Soaring of a Micro Air Vehicle
Sunyou Hwang, Bart D. W. Remes, Guido C. H. E. de Croon
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 f…
Autonomous Control for Orographic Soaring of Fixed-Wing UAVs
Tom Suys, Sunyou Hwang, Guido C. H. E. de Croon +1
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…
Guidance & Control Networks for Time-Optimal Quadcopter Flight
Sebastien Origer, Christophe De Wagter, Robin Ferede +2
Reaching fast and autonomous flight requires computationally efficient and robust algorithms. To this end, we train Guidance & Control Networks to approximate optimal control polic…