research
∙
08/29/2023
Collision-Free Inverse Kinematics Through QP Optimization (iKinQP)
Robotic manipulators are often designed with more actuated degrees-of-fr...
share
research
∙
06/02/2023
Synaptic motor adaptation: A three-factor learning rule for adaptive robotic control in spiking neural networks
Legged robots operating in real-world environments must possess the abil...
research
∙
06/25/2022
Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks
We propose that in order to harness our understanding of neuroscience to...
research
∙
11/18/2021
Learning To Estimate Regions Of Attraction Of Autonomous Dynamical Systems Using Physics-Informed Neural Networks
When learning to perform motor tasks in a simulated environment, neural ...
research
∙
11/07/2021
Stable Lifelong Learning: Spiking neurons as a solution to instability in plastic neural networks
Synaptic plasticity poses itself as a powerful method of self-regulated ...
research
∙
06/04/2021