NEWS
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We have organized a workshop in the NeurIPS 2023 attached to "The Robot Air Hockey Challenge: Robust, Reliable, and Safe Learning Techniques for Real-world Robotics"!
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Our paper "Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks" has been accepted for publication in the IEEE Transactions on Robotics (T-RO).
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Our competition "The Robot Air Hockey Challenge: Robust, Reliable, and Safe Learning Techniques for Real-world Robotics" has been accepted at the Neural Information Processing Systems (NeurIPS) 2023!
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Our paper "Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning" has been accepted for publication in the International Journal of Robotics Research (IJRR)!
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Our paper "Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction" has benn accepted at ICRA 2023!
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2022-09-27
I won the "IROS Student Travel Award"!
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Our paper "Regularized Deep Signed Distance Fields for Reactive Motion Generation" has benn accepted at IROS 2022!
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2022-01-18
Our paper "Dimensionality Reduction and Prioritized Exploration for Policy Search" is accepted at AISTATS 2022!
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Our paper "Robot Reinforcement Learning on the Constraint Manifold" has been accepted at CoRL 2021 as oral presentation and selected as "Best Paper Award Finalist"!
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2021-09-30
Our paper "Efficient and Reactive Planning for High Speed Robot Air Hockey" has been accepted at IROS 2021 and selected as "Best Entertainment and Amusement Paper Award Finalist"!