Xiaoxiao Cheng is currently a Lecturer in Engineering Systems for Robotics at the University of Manchester. Before joining in 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. 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.    

His research focuses on developing intelligent autonomous systems and human-machine interfaces by considering and integrating factors from robotics, control, artificial intelligence, and neuroscience. Through this he is keen on developing advanced intelligent human-machine systems through i) sensory augmentation through perceiving the intention of human and autonomous agents; ii) the creation of control frameworks that adapt to the versatile human needs and environment characteristics; and iii) the integration of multiple sensory information to transmit artificial feedback to the user and improve efficacy. This opens up new possibilities for society and industry engagement including the use of intelligent human-machine interaction techniques for assistive robotics for intelligent manufacturing and manipulation in hazardous environments.

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
• Computational modelling

I welcome enquiries from prospective students interested in these or any other relevant research topics.

Feel free to contact [email protected] to initiate discussions.