I am a Master's student in Mechanical Engineering at Nanyang Technological University (NTU), Singapore, where I am supervised by Prof. Ang Wei Tech, Director of the Robotics Research Centre (RRC), in its Assistive Robotics Lab. I received my B.Eng. in Mechanical Engineering from South China University of Technology (SCUT) in 2024.
My research lies at the intersection of Robotics and Physical Human-Robot Interaction (pHRI). My interests span:
Chengyuan Yang, Yifan Wang, Chun Kwang Tan, et al.
Under review at IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) 2026
We propose a standardized Real2Sim pipeline that calibrates a 6-DoF mass-spring-damper model from real measurements to enhance the fidelity of physical human-robot interaction simulations.
Chengyuan Yang, Yifan Wang, Chun Kwang Tan, et al.
Under review at IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) 2026
We propose a standardized Real2Sim pipeline that calibrates a 6-DoF mass-spring-damper model from real measurements to enhance the fidelity of physical human-robot interaction simulations.
Yifan Wang, Lei Li, Youlong Wang, Chengyuan Yang, et al.
Under review at IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) 2026
DRBA is a versatile robotic system for gait rehabilitation and balance training, employing an assist-as-needed control strategy to adapt support to individual users.
Yifan Wang, Lei Li, Youlong Wang, Chengyuan Yang, et al.
Under review at IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) 2026
DRBA is a versatile robotic system for gait rehabilitation and balance training, employing an assist-as-needed control strategy to adapt support to individual users.
Chengyuan Yang, Yifan Wang, Vasanthamaran Ravichandram, et al.
Presented at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2025 Workshop
We propose PHRASE, a personalized human-robot interaction simulation framework in MuJoCo that integrates personalized SKEL human models and elastic strap dynamics to enable safe and ergonomic gait assistance.
Chengyuan Yang, Yifan Wang, Vasanthamaran Ravichandram, et al.
Presented at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2025 Workshop
We propose PHRASE, a personalized human-robot interaction simulation framework in MuJoCo that integrates personalized SKEL human models and elastic strap dynamics to enable safe and ergonomic gait assistance.