140 citations · 330 across the 15 of their papers we have counts for
5 papers · 1 filter
Teach Biped Robots to Walk via Gait Principles and Reinforcement Learning with Adversarial Critics
Kuangen Zhang, Zhimin Hou, Clarence W. de Silva +2
Controlling a biped robot to walk stably is a challenging task considering its nonlinearity and hybrid dynamics. Reinforcement learning can address these issues by directly mapping…
Sequential Decision Fusion for Environmental Classification in Assistive Walking
Kuangen Zhang, Wen Zhang, Wentao Xiao +3
Powered prostheses are effective for helping amputees walk on level ground, but these devices are inconvenient to use in complex environments. Prostheses need to understand the mot…
Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features
Kuangen Zhang, Ming Hao, Jing Wang +2
Learning on point cloud is eagerly in demand because the point cloud is a common type of geometric data and can aid robots to understand environments robustly. However, the point c…
Sensor Fusion for Predictive Control of Human-Prosthesis-Environment Dynamics in Assistive Walking: A Survey
Kuangen Zhang, Clarence W. de Silva, Chenglong Fu
This survey paper concerns Sensor Fusion for Predictive Control of Human-Prosthesis-Environment Dynamics in Assistive Walking. The powered lower limb prosthesis can imitate the hum…
Directional PointNet: 3D Environmental Classification for Wearable Robotics
Kuangen Zhang, Jing Wang, Chenglong Fu
Environmental information can provide reliable prior information about human motion intent, which can aid the subject with wearable robotics to walk in complex environments. Previo…