140 citations · 257 across the 12 of their papers we have counts for
6 papers · 1 filter
Height Control and Optimal Torque Planning for Jumping With Wheeled-Bipedal Robots
Yulun Zhuang, Yuan Xu, Binxin Huang +5
This paper mainly studies the accurate height jumping control of wheeled-bipedal robots based on torque planning and energy consumption optimization. Due to the characteristics of…
Ensemble diverse hypotheses and knowledge distillation for unsupervised cross-subject adaptation
Kuangen Zhang, Jiahong Chen, Jing Wang +4
Recognizing human locomotion intent and activities is important for controlling the wearable robots while walking in complex environments. However, human-robot interface signals ar…
How does the structure embedded in learning policy affect learning quadruped locomotion?
Kuangen Zhang, Jongwoo Lee, Zhimin Hou +3
Reinforcement learning (RL) is a popular data-driven method that has demonstrated great success in robotics. Previous works usually focus on learning an end-to-end (direct) policy…
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…
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…