6 citations · 12 across the 3 of their papers we have counts for
4 papers · 1 filter
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…
Neuromorphic computing for attitude estimation onboard quadrotors
Stein Stroobants, Julien Dupeyroux, Guido C. H. E. de Croon
Compelling evidence has been given for the high energy efficiency and update rates of neuromorphic processors, with performance beyond what standard Von Neumann architectures can a…
Neuromorphic Control using Input-Weighted Threshold Adaptation
Stein Stroobants, Christophe De Wagter, Guido C. H. E. de Croon
Neuromorphic processing promises high energy efficiency and rapid response rates, making it an ideal candidate for achieving autonomous flight of resource-constrained robots. It wi…
Fully neuromorphic vision and control for autonomous drone flight
Federico Paredes-Vallés, Jesse Hagenaars, Julien Dupeyroux +3
Biological sensing and processing is asynchronous and sparse, leading to low-latency and energy-efficient perception and action. In robotics, neuromorphic hardware for event-based…