1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.RO2023
Collision-Free Inverse Kinematics Through QP Optimization (iKinQP)
Julia Ashkanazy, Ariana Spalter, Joe Hays +3
Robotic manipulators are often designed with more actuated degrees-of-freedom than required to fully control an end effector's position and orientation. These "redundant" manipulat…
cs.RO2023★ 1 cited
Synaptic motor adaptation: A three-factor learning rule for adaptive robotic control in spiking neural networks
Samuel Schmidgall, Joe Hays
Legged robots operating in real-world environments must possess the ability to rapidly adapt to unexpected conditions, such as changing terrains and varying payloads. This paper in…
cs.NE2022
Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks
Samuel Schmidgall, Joe Hays
We propose that in order to harness our understanding of neuroscience toward machine learning, we must first have powerful tools for training brain-like models of learning. Althoug…