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职业迁徙
个人简介
My research interests are in the intersection of AI and robotics, namely in using Machine Learning, optimization, and AI reasoning to tackle fundamental problems in robotics. The integration of learning and reasoning, of data-based and model-based decision making is of particular interest to me. Concrete research topics we work on are models and algorithms for physical reasoning, task-and-motion planning (logic-geometric programming), learning heuristics, the planning-as-inference paradigm, algorithms and methods for robotic building construction, and learning to transfer model-based strategies to reactive and adaptive real-world behavior. To this end, we build on methodologies from optimization, reinforcement learning, machine learning, search, planning, and probabilistic inference. Some of my earlier work was on evolutionary algorithms (esp. evolving genetic representations and compression), relational reinforcement learning, and active learning. My physics diploma research was on gravity theory as gauge theory.
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INTERNATIONAL JOURNAL OF ROBOTICS RESEARCHno. 1 (2024): 3-33
CoRR (2023)
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2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (2023): 11328-11335
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