Maximilian Xiling Li 🤖
Maximilian Xiling Li

PhD Researcher

Intuitive Robots Lab, KIT, Germany

About Me

Maximilian Xiling Li is a PhD Researcher at the Intuitive Robots Lab under supervision of TT.-Prof. Rudolf Lioutikov. Max’s Research interests revolve around explainable artifical intelligence (XAI) for robotics. His works aims at making the decision processes of embodied AI transparent to improve human robot interaction and enhance its safety.

Previously, Max was a Research Assistant at the Autonomous Learning Robots group and the Human-Centered Systems Lab at KIT. Before he joined KIT as a Master’s Student, Max was part of a research team at SAP as a working student.

Interests
  • Explainable Artificial Intelligence
  • Computer Vision
  • Robotics
Education

  • PhD - Intuitive Robots Lab

    Karlsruhe Institute of Technology

  • MSc - Computer Science

    Karlsruhe Institute of Technology

  • Foreign Exchange

    Tongji University, Shanghai

  • BSc - Computer Science

    Technical University of Darmstadt

Recent Publications
Maximilian Xiling Li, Korbinian Franz Rudolf, Nils Blank, Rudolf Lioutikov (2024). HyperPg--Prototypical Gaussians on the Hypersphere for Interpretable Deep Learning arXiv preprint arXiv:2410.08925.
Cite
Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Li, Rudolf Lioutikov, Gerhard Neumann (2024). Information maximizing curriculum: A curriculum-based approach for learning versatile skills Advances in Neural Information Processing Systems.
Cite
Paul Werner Lödige, Maximilian Xiling Li, Rudolf Lioutikov (2024). Use the Force, Bot!--Force-Aware ProDMP with Event-Based Replanning arXiv preprint arXiv:2409.11144.
Cite
Maximilian Xiling Li, Onur Celik, Philipp Becker, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann (2023). Curriculum-Based Imitation of Versatile Skills 2023 IEEE International Conference on Robotics and Automation (ICRA).
Cite DOI
Moritz Reuss, Maximilian Li, Xiaogang Jia, Rudolf Lioutikov (2023). Goal-Conditioned imitation learning using score-based diffusion policies Robotics: Science and Systems.
Cite
See all publications