Xiaoxiao Cheng

Xiaoxiao Cheng is a Lecturer in Engineering Systems for Robotics at the University of Manchester, Department of Electrical Engineering. His research focuses on developing intelligent autonomous systems and human-machine interfaces by integrating factors from robotics, control, artificial intelligence, and neuroscience. His work includes sensory augmentation, control frameworks for human needs, and multi-sensory feedback integration. His research interests include adaptive control in physical human-robot interaction, human-robot sensory integration, intention detection of human/robotic agents, multi-sensory feedback, autonomous navigation and control, and computational modelling. He received his Ph.D. degree in Electrical and Electronic Engineering from The University of Melbourne in 2019, M. Phil. degree in Mechanical Engineering from Tsinghua University in 2014, and B. Eng. degree in Mechanical Engineering from Beijing Institute of Technology in 2011. Before joining the University of Manchester, he worked as a Research Associate at Imperial College London from 2020 to 2023 and a Research Fellow at Stanford University from 2019 to 2020.

Xiaoxiao Cheng is a Lecturer at The University of Manchester, specializing in Robotic Control, Human-Robot Collaboration, Human Motor Control, and Visuo-Haptic Perception. Their research explores how humans interact with robots and environments, focusing on improving perception and control through physical interaction. Cheng's work includes studies on visuo-haptic perception, shared control in robotic surgery, and the role of haptic feedback in driving control. They also investigate mechanical properties during object recognition and the impact of human impedance modulation on performance. Their research bridges robotics, human factors, and biomechanics, aiming to enhance human-robot collaboration and perception in dynamic environments.