most citedHuman-Like Robot Impedance Regulation Skill Learning from Human-Human Demonstrations

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2025

Interactive Motion Planning for Human-Robot Collaboration Based on Human-Centric Configuration Space Ergonomic Field

Chenzui Li, Yiming Chen, Xi Wu +4

Industrial human-robot collaboration requires motion planning that is collision-free, responsive, and ergonomically safe to reduce fatigue and musculoskeletal risk. We propose the…

cs.RO2025

Integrating Ergonomics and Manipulability for Upper Limb Postural Optimization in Bimanual Human-Robot Collaboration

Chenzui Li, Yiming Chen, Xi Wu +2

This paper introduces an upper limb postural optimization method for enhancing physical ergonomics and force manipulability during bimanual human-robot co-carrying tasks. Existing…

physics.med-ph2025

Muscle Activation Estimation by Optimizing the Musculoskeletal Model for Personalized Strength and Conditioning Training

Xi Wu, Chenzui Li, Kehan Zou +2

Musculoskeletal models are pivotal in the domains of rehabilitation and resistance training to analyze muscle conditions. However, individual variability in musculoskeletal paramet…

cs.RO2025★ 1 cited

Human-Like Robot Impedance Regulation Skill Learning from Human-Human Demonstrations

Chenzui Li, Xi Wu, Yiming Chen +5

Humans are experts in physical collaboration by leveraging cognitive abilities such as perception, reasoning, and decision-making to regulate compliance behaviors based on their pa…

cs.RO2024

Learning Goal-oriented Bimanual Dough Rolling Using Dynamic Heterogeneous Graph Based on Human Demonstration

Junjia Liu, Chenzui Li, Shixiong Wang +4

Soft object manipulation poses significant challenges for robots, requiring effective techniques for state representation and manipulation policy learning. State representation inv…