Curriculum Vitae

In August 2019, I joined the Human Brain Project SP10 Neurorobotics research group at TUM as a post-doc researcher. Previously, I received my Bachelor degree in Mechanical Design Manufacturing and Automation from Harbin Institute of Technology, China in 2013, and my M.Eng degree in Mechanical Engineering (State Key Laboratory of Robotics System) at the same university in 2015. I received my PhD degree in computer science from the Technical University of Munich under the supervision of Prof. Alois Knoll in June 2019. 

My research investigates the bio-inspired robot which is controlled to achieve autonomous locomotion and self-adaptive behavior with embodided AI.

I have authored approximately 100 peer-reviewed publications in esteemed journals and conference proceedings within the field of robotics and AI, notably including publications in Science Robotics, Nature Machine Intelligence and IEEE Transactions on Pattern Analysis and Machine Intelligence.

If you are self-motivated for a robotic related thesis topic, please write me an email indicating your background and skills.

Services

• Associate Editor of IEEE Transactions on Neural Networks and Learning Systems
• Associate Editor of 2025 IEEE International Conference on Robotics and Automation
• Guest Editor of the Special Issue on Biological-Inspired Autonomous Mobile Manipulation, Frontiers in Neurorobotics
• Guest Editor of Sensors on Special Issue "Robotic Control Based on Neuromorphic Approaches and Hardware"
• Review Editor of Frontiers in Neurorobotics and Frontiers in Biomedical Robotics.
• Serve as a Program Committee  member for AAAI 2022

Open Thesis

• Topic 1: Reinforcement Learning via Hindsight Experience Replay (HER)
• Topic 2: Autonomous Locomotion Control for Snake Robot Based on Bio-inspired Vision Sensor and Spiking Neural Network
• Topic 3: Advanced Autonomous Driving Control Based on Bio-inspired Vision Sensor and Spiking Neural Network
• Topic 4: Reinforcement Learning for Adaptive Locomotion of Snake-like Robot

On-going Theses

Currently, we have a small group of bachelor/master students working on several topics about reinforcement learning and spiking neural network. Some of the theses have successfully been published on peer-reviewed conferences and journals.