Lingyi Meng — accepted AI-conference papers

2025

SRL-Gym: A Morphology and Controller Co-Optimization Framework for Supernumerary Robotic Limbs in Load-Bearing Locomotion

Lingyi Meng, Enhao Zheng, Xiong Li, Zhong Zhang

ICRA 2025

Supernumerary Robotic Limbs (SRLs) can assist human motions by providing extra degrees of freedom (DoFs) and body support. The extra DoFs lead to larger design space in structure and control policies, which is complex and time-consuming with the traditional manual design process. In this pilot study

Cited by 1 Source ↗Scholar ↗

2024

Hierarchical Human Motion Intention Prediction for Increasing Efficacy of Human-Robot Collaboration

Lingyi Meng, Lin Yang, Enhao Zheng

RA-L 2024

When humans and robots work together to accomplish tasks with dynamic uncertainty, the robots should perceive human motion intentions so as to cooperate with humans and increase efficacy. In this study, we propose a hierarchical motion intention prediction model for human-robot collaboration, in whi

Cited by 8 Source ↗Scholar ↗