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

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Training in Deployment: Human-in-the-loop Online Post-Training for Robot Manipulation

Chun Gu, Xiaofei Wei, Yiming Chen +4

Large pretrained robot foundation models provide strong priors for manipulation, yet adapting them to target tasks with offline teleoperated demonstrations often fails to cover the…

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…

cs.CL2025

TreeDiff: AST-Guided Code Generation with Diffusion LLMs

Yiming Zeng, Jinghan Cao, Zexin Li +7

Code generation is increasingly critical for real-world applications. Still, diffusion-based large language models continue to struggle with this demand. Unlike free-form text, cod…

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…