3 citations · 5 across the 5 of their papers we have counts for
3 papers · 1 filter
Population-Coded Spiking Neural Networks for High-Dimensional Robotic Control
Kanishkha Jaisankar, Xiaoyang Jiang, Feifan Liao +1
Energy-efficient and high-performance motor control remains a critical challenge in robotics, particularly for high-dimensional continuous control tasks with limited onboard resour…
Fully Spiking Neural Network for Legged Robots
Xiaoyang Jiang, Qiang Zhang, Jingkai Sun +3
Recent advancements in legged robots using deep reinforcement learning have led to significant progress. Quadruped robots can perform complex tasks in challenging environments, whi…
Prompt, Plan, Perform: LLM-based Humanoid Control via Quantized Imitation Learning
Jingkai Sun, Qiang Zhang, Yiqun Duan +3
In recent years, reinforcement learning and imitation learning have shown great potential for controlling humanoid robots' motion. However, these methods typically create simulatio…