26 citations · 32 across the 6 of their papers we have counts for
6 papers
Robot Deformable Object Manipulation via NMPC-generated Demonstrations in Deep Reinforcement Learning
Haoyuan Wang, Zihao Dong, Hongliang Lei +5
In this work, we conducted research on deformable object manipulation by robots based on demonstration-enhanced reinforcement learning (RL). To improve the learning efficiency of R…
Joint Moment Estimation for Hip Exoskeleton Control: A Generalized Moment Feature Generation Method
Yuanwen Zhang, Jingfeng Xiong, Haolan Xian +4
Hip joint moments during walking are the key foundation for hip exoskeleton assistance control. Most recent studies have shown estimating hip joint moments instantaneously offers a…
Enhancing Prosthetic Safety and Environmental Adaptability: A Visual-Inertial Prosthesis Motion Estimation Approach on Uneven Terrains
Chuheng Chen, Xinxing Chen, Shucong Yin +4
Environment awareness is crucial for enhancing walking safety and stability of amputee wearing powered prosthesis when crossing uneven terrains such as stairs and obstacles. Howeve…
D3PRefiner: A Diffusion-based Denoise Method for 3D Human Pose Refinement
Danqi Yan, Qing Gao, Yuepeng Qian +3
Three-dimensional (3D) human pose estimation using a monocular camera has gained increasing attention due to its ease of implementation and the abundance of data available from dai…
A Piecewise Monotonic Gait Phase Estimation Model for Controlling a Powered Transfemoral Prosthesis in Various Locomotion Modes
Xinxing Chen, Chuheng Chen, Yuxuan Wang +4
Gait phase-based control is a trending research topic for walking-aid robots, especially robotic lower-limb prostheses. Gait phase estimation is a challenge for gait phase-based co…
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…