Ante Marić — accepted AI-conference papers

2025

Distilling Contact Planning for Fast Trajectory Optimization in Robot Air Hockey

Julius Jankowski, Ante Marić, Puze Liu, Davide Tateo, Jan Peters, Sylvain Calinon

RSS 2025poster

Robot control through contact is challenging as it requires reasoning over long horizons and discontinuous system dynamics. Highly dynamic tasks such as Air Hockey additionally require agile behavior, making the corresponding optimal control problems intractable for planning in realtime. Learning-ba…

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2024

A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics

Puze Liu, Jonas Günster, Niklas Funk, Simon Gröger, Dong Chen, Haitham Bou Ammar +15

NeurIPS 2024poster

Machine learning methods have a groundbreaking impact in many application domains, but their application on real robotic platforms is still limited. Despite the many challenges associated with combining machine learning technology with robotics, robot learning remains one of the most promising direc…

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