I am Teng Xue, a PhD student at Ecole Polytechnique Federale de Lausanne (EPFL) and a research assistant at Robot Learning and Interaction Group (RLI), Idiap Research Institute, supervised by Dr. Sylvain Calinon. Before joining Idiap/EPFL, I was fortunate to work as a research intern at ETH RSL, supervised by Prof. Marco Hutter, and Stanford Artificial Intelligence Lab (SAIL), supervised by Dr. Shenli Yuan and Prof. J. Kenneth Salisbury.

I am broadly interested in planning and control for robotic systems that can physically interact with the surroundings, especially long-horizon contact-rich manipulation, by leveraging the tools in symbolic AI and geometric motion planning.

Recent News

(2024/05) Our paper Logic-Skill Programming: An Optimization-based Approach to Sequential Skill Planning is accepted to RSS 2024!

(2024/01) Our paper D-LGP: Dynamic Logic-Geometric Program for Combined Task and Motion Planning is accepted to ICRA 2024!

(2024/01) Our paper Generalized Policy Iteration using Tensor Approximation for Hybrid Control is accepted to ICLR 2024 as spotlight (Top 5%)!

(2023/01) Our paper Demonstration-guided Optimal Control for Long-term Non-prehensile Planar Manipulation is accepted to ICRA 2023!

(2022/01) One paper about Robot Grasping in Dense Clutter is accepted to Robotics and Autonomous Systems!

(2020/05) One paper about Multimodel Fusion in pHRI is accepted to IEEE sensors journal!

(2020/02) One paper about Sequential Robot Manipulation is accepted to IEEE Access!

(2019/05) One paper about Tactile Grasping is accepted to ViTac workshop in ICRA 2019!

(2018/05) Our team, Kaibot, won the First Place in Tidy Up My Room Challenge in ICRA 2018!

(2017/02) We won the Outstanding Winner (1/8085) of MCM/ICM competition held by American Consortium for Mathematics and Its Application (COMAP). A nice collaboration with Yasheng and Taihang!