Neuro-symbolic planning
Integrating symbolic concepts and foundation models for long-horizon, partially observable tasks.
Mathematics · Embodied AI · Robot Learning
I work on long-horizon robot manipulation and neuro-symbolic planning.
I am now at THU. Previously, I was at SJTU and HKU.
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Current focus
Integrating symbolic concepts and foundation models for long-horizon, partially observable tasks.
Bringing task and motion planning into unified learning systems that can act under uncertainty.
Exploring learning-based humanoid robotics and Vision–Language–Action models.
A long-term personal benchmark: enable robots to sit at a table and play mahjong with humans. I support Slow Science.
Research output
I am fortunate to be advised by Mengdi Xu, Jianping He, and Edith C.H. Ngai, and grateful to collaborate with many wonderful colleagues. See the full list on Google Scholar. † denotes equal contribution.
Academic path
University of Nottingham Ningbo China
IIIS · Embodied Intelligence
Generative models, manipulation, and reinforcement learning
Federated learning, fairness, and spatio-temporal graphs
Updates
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