Edinburgh Research Explorer

Dr Zhibin Li

Lecturer in Robotics and Control

Profile photo

Willingness to take PhD students: Yes

Meta-learning of sensorimotor skills of robots. Deep reinforcement learning of dynamic locomotion of legged robots. Data-efficient learning of autonomous robotic manipulation. Multi-contact motion planning of multi-limbed robots. Immersive tele-operation with multi-sensory interface. Autonomous delivery robot for last-mile logistics. Bio-inspired robotic gripper for handling soft objects.

Research Interests

My goal is to control the dynamic behaviour of a wide variety of robotic systems and to achieve human-comparable ability to move, manipulate, and grasp. I am interested in producing skilful, agile, athletic, and well coordinated physical motions and interactions through control theories, optimization and machine learning.

Qualifications

2012, PhD in Robotics, Italian Institute of Technology and University of Genova.

2007, BEng (Distinction), Harbin Institute of Technology.

Biography

Dr Zhibin Li is a Lecturer (Assistant Professor) in the School of Informatics at the University of Edinburgh. Before joining the Institute of Perception, Action and Behaviour (IPAB), he had been with the Italian Institute of Technology (IIT) since 2009, where he obtained the joint PhD degree from IIT and University of Genova, worked as a post-doctoral researcher, and led the locomotion group inside the Humanoid and Human Centred Mechatronics Lab at the Department of Advanced Robotics, IIT.

His past work focused on the development of a variety of balancing and dynamic walking control of humanoid and other legged robots. His current research aims to control the dynamic behaviour of a wide variety of robotic systems and to achieve human-comparable ability to move, manipulate, and grasp. He is particularly interested in producing skilful, agile, athletic, and well coordinated physical motions and interactions through control theories, optimization and machine learning.

Research outputs

  1. Model Predictive Control for Motion Planning of Quadrupedal Locomotion

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. Learning Whole-body Motor Skills for Humanoids

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Latest prizes

  1. Award for Best Paper Nomination Finalist - Humanoids 2012

    Prize: Prize (including medals and awards)

  2. Best conference paper finalist - ICARM 2019

    Prize: Prize (including medals and awards)

  3. Award for Best Paper Finalist - ICARM 2016

    Prize: Prize (including medals and awards)

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