149 citations · 263 across the 21 of their papers we have counts for
3 papers · 1 filter
Bio-inspired Gait Imitation of Hexapod Robot Using Event-Based Vision Sensor and Spiking Neural Network
Justin Ting, Yan Fang, Ashwin Sanjay Lele +1
Learning how to walk is a sophisticated neurological task for most animals. In order to walk, the brain must synthesize multiple cortices, neural circuits, and diverse sensory inpu…
Learning to Walk: Spike Based Reinforcement Learning for Hexapod Robot Central Pattern Generation
Ashwin Sanjay Lele, Yan Fang, Justin Ting +1
Learning to walk -- i.e., learning locomotion under performance and energy constraints continues to be a challenge in legged robotics. Methods such as stochastic gradient, deep rei…
Direct Feedback Alignment with Sparse Connections for Local Learning
Brian Crafton, Abhinav Parihar, Evan Gebhardt +1
Recent advances in deep neural networks (DNNs) owe their success to training algorithms that use backpropagation and gradient-descent. Backpropagation, while highly effective on vo…