Portrait
Yang Chengyuan
Master Student in Mechanical Engineering
Nanyang Technological University
About Me

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:

  • Physics-based & human-in-the-loop simulation
  • System identification & Real2Sim modeling
  • Control systems & reinforcement learning
Education
  • Nanyang Technological University
    Nanyang Technological University
    School of Mechanical and Aerospace Engineering
    M.Sc. in Mechanical Engineering
    Aug. 2024 - present
  • South China University of Technology
    South China University of Technology
    B.Eng. in Mechanical Engineering
    Sep. 2020 - Jun. 2024
Honors & Awards
  • MAE Graduate Study Grant, NTU
    2024
  • Second-class Scholarship, SCUT
    2023
  • National First Prize, Formula Student Autonomous China (FSAC)
    2022
News
2026
PHRASE on personalized soft-body pHRI simulation has been submitted to IROS 2026.
Mar 01
Two papers (Beyond Heuristics and DRBA) submitted to BioRob 2026 are under review.
Feb 01
2024
Started M.Sc. in Mechanical Engineering at Nanyang Technological University.
Aug 15
Graduated with B.Eng. in Mechanical Engineering from South China University of Technology.
Jun 30
Selected Publications (view all )
Beyond Heuristics: A Standardized Real2Sim Pipeline for Physical Human-Robot Interaction in Human-in-the-Loop Simulation

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.

Beyond Heuristics: A Standardized Real2Sim Pipeline for Physical Human-Robot Interaction in Human-in-the-Loop Simulation

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.

DRBA: Dynamic Robotic Balance Assistant — An Assist-as-Needed Gait and Balance Rehabilitation Robot for Versatile Training

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.

DRBA: Dynamic Robotic Balance Assistant — An Assist-as-Needed Gait and Balance Rehabilitation Robot for Versatile Training

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.

PHRASE: Personalized Human-Robot Interaction Simulation with Accurate Soft Body Modeling for 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.

PHRASE: Personalized Human-Robot Interaction Simulation with Accurate Soft Body Modeling for 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.

All publications