11 citations · 16 across the 9 of their papers we have counts for
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cs.RO2026
Training slow silicon neurons to control extremely fast robots with spiking reinforcement learning
Irene Ambrosini, Ingo Blakowski, Dmitrii Zendrikov +5
Air hockey demands split-second decisions at high puck velocities, a challenge we address with a compact network of spiking neurons running on a mixed-signal analog/digital neuromo…
cs.RO2022
Towards hardware Implementation of WTA for CPG-based control of a Spiking Robotic Arm
A. Linares-Barranco, E. Pinero-Fuentes, S. Canas-Moreno +6
Biological nervous systems typically perform the control of numerous degrees of freedom for example in animal limbs. Neuromorphic engineers study these systems by emulating them in…