Biography
Dr Shan Luo is a Reader at King’s College London. He received his PhD in Robotics from King's College London in 2016. Shan visited the MIT Computer and Artificial Intelligence Laboratory (CSAIL) in 2016. After completing his PhD, he worked as a Postdoctoral Research Fellow at the University of Leeds and Harvard University. Shan joined the University of Liverpool as a Lecturer in 2018 and was the Director the smARTLab at the Department of Computer Science between 2018-2021.
His research outputs have been published in high-impact robotics journals and international conferences, including Autonomous Robots, ICRA, IROS, ICML and AAMAS, and attracted significant media coverage, including BBC, MIT Technology Review and Tech Xplore. His research has received funding from prestigious funding bodies and industrial support including EPSRC, AHRC, Innovate UK, Royal Society and Unilever, with him as a PI for over £1.3 million.
Shan's accolades also include the EPSRC New Investigator Award, BCS Academy New Appointments Grant Scheme Award, Faculty Learning & Teaching and Student Experience Award, and he was recognised as a Distinguished Program Committee member at the International Joint Conference on Artificial Intelligence (IJCAI) in 2019.
Research interests
- Visuo-tactile robotics
- Robot visuo-tactile sensing
- Multimodal robot perception
- Robot learning for grasping and manipulation
More information
Research
Design & Mechatronics
Fusing mechanical, electrical and control engineering.
Manufacturing, Materials & Systems
Design, manufacturing and processing
Centre for Robotics Research
The group develops solutions to critical challenges faced in society where robot-centric approaches can improve outcomes.
Events
Touch the AI
Camera-based tactile sensor captures texture, force & slip events. Come and find out how robots sense!
Research
Design & Mechatronics
Fusing mechanical, electrical and control engineering.
Manufacturing, Materials & Systems
Design, manufacturing and processing
Centre for Robotics Research
The group develops solutions to critical challenges faced in society where robot-centric approaches can improve outcomes.
Events
Touch the AI
Camera-based tactile sensor captures texture, force & slip events. Come and find out how robots sense!