Yiyang He

PhD student

Research 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.