17 citations · 33 across the 5 of their papers we have counts for
5 papers
EV-LayerSegNet: Self-supervised Motion Segmentation using Event Cameras
Youssef Farah, Federico Paredes-Vallés, Guido De Croon +3
Event cameras are novel bio-inspired sensors that capture motion dynamics with much higher temporal resolution than traditional cameras, since pixels react asynchronously to bright…
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events
Jesse Hagenaars, Yilun Wu, Federico Paredes-Vallés +2
Event cameras provide low-latency perception for only milliwatts of power. This makes them highly suitable for resource-restricted, agile robots such as small flying drones. Self-s…
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…
NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
Jason Yik, Korneel Van den Berghe, Douwe den Blanken +97
Neuromorphic computing shows promise for advancing computing efficiency and capabilities of AI applications using brain-inspired principles. However, the neuromorphic research fiel…
Evolution of Robust High Speed Optical-Flow-Based Landing for Autonomous MAVs
Kirk Y. W. Scheper, Guido C. H. E. de Croon
Automatic optimization of robotic behavior has been the long-standing goal of Evolutionary Robotics. Allowing the problem at hand to be solved by automation often leads to novel ap…