Yiyang He
PhD studentResearch Overview
My research focuses on intelligent assistive and wearable robotics, with particular interests in exoskeleton control, human–robot interaction, and learning-based control. I investigate how reinforcement learning, neuromusculoskeletal modelling, and multimodal human sensing can be integrated to develop adaptive robotic systems that respond to human physical and cognitive states. My work also explores intuitive interaction and shared-control approaches for robotic manipulation, including gaze-, language-, and teleoperation-based interfaces. The broader aim of my research is to improve the safety, adaptability, and usability of human-centred robotic systems for assistance, rehabilitation, and complex human–robot collaborative tasks.
Selected Publications
Control Methodology Impact on User Cognitive Workload in Gaze-Controlled Robotic Manipulation Tasks
He, Y., Wang, Z., Yan, L., Xue, T., Fei, H. 3/11/2025
Conference contribution/Paper
All Publications
IEEE 35th International Symposium on Industrial Electronics
Participation in conference - Academic
IEEE Robotics and Automation Society (IEEE RAS) (External organisation)
Membership of committee
Session Co-Chair, “Assistive Robotics III”, IEEE RO-MAN 2025 – 34th IEEE International Conference on Robot and Human Interactive Communication
Participation in conference -Mixed Audience
Silver Award, Higher Education Main Track – China International College Students’ Innovation Competition 2025
Prize (including medals and awards)