About me

2nd-year PhD student in Computer Science, University of Hamburg, Knowledge Technology (WTM) group, advised by Prof. Stefan Wermter.

M.Sc in Computer Science and Technology, University of Electronic Science and Technology of China, advised by Prof. William Zhu, 2018-2021.

B.E. in Spatial Information and Digital Technology, University of Electronic Science and Technology of China, advised by Prof. Fen Chen, 2014-2018.

I have a broad interest in Reinforcement Learning, Large Language Models (LLMs), and Robotics, including 1). how to utilize LLMs to enable RL agents learn more efficiently in (bimanual) robotic tasks; 2). how to employ LLMs in long-horizon robotic tasks; 3) how to deploy learning models (foundation models, RL models) in humanoid robots for everyday tasks in real world, etc.

The Future of Embodied Intelligence is Now.

What’s New

[2024.10] We have open-sourced the code for the LABOR Agent on Github.

[2024.09] Our paper Large Language Models for Orchestrating Bimanual Robots has been accepted by Humanoids 2024. See you in Nancy, France in November!

[2024.07] Our application to Researcher Access Program of OpenAI has been accepted and we have been awarded 5000 USD in API credits!

[2024.03] The project website of LABOR Agent: Large Language Models for Orchestrating Bimanual Robots is released! Paper in arxiv version can be found at here.

[2024.02] I am glad to be served as technical committee member of the 2024 IEEE International Conference on Robotics and Automation (ICRA 2024) Workshop on Human-aligned Reinforcement Learning for Autonomous Agents and Robots.

[2024.02] Our paper Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic has been accepted at COLING 2024.

[2023.11] Our paper Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models has been accepted as oral presentation at the 7th Conference on Robot Learning (CoRL 2023) Workshop on Bridging the Gap between Cognitive Science and Robot Learning in the Real World: Progresses and New Directions.

Glad to discuss anything! Please contact me at kun.chu at uni-hamburg dot de