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2020 – today
- 2024
[j4]David Hoeller
, Nikita Rudin, Dhionis V. Sako, Marco Hutter:
ANYmal parkour: Learning agile navigation for quadrupedal robots. Sci. Robotics 9(88) (2024)- 2023
- [j3]Mayank Mittal, Calvin Yu, Qinxi Yu, Jingzhou Liu, Nikita Rudin, David Hoeller, Jia Lin Yuan, Ritvik Singh, Yunrong Guo, Hammad Mazhar, Ajay Mandlekar, Buck Babich, Gavriel State, Marco Hutter, Animesh Garg:
Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments. IEEE Robotics Autom. Lett. 8(6): 3740-3747 (2023) - [i14]Mayank Mittal, Calvin Yu, Qinxi Yu, Jingzhou Liu, Nikita Rudin, David Hoeller, Jia Lin Yuan, Pooria Poorsarvi Tehrani, Ritvik Singh, Yunrong Guo, Hammad Mazhar, Ajay Mandlekar, Buck Babich, Gavriel State, Marco Hutter, Animesh Garg:
ORBIT: A Unified Simulation Framework for Interactive Robot Learning Environments. CoRR abs/2301.04195 (2023) - [i13]David Hoeller, Nikita Rudin, Dhionis V. Sako, Marco Hutter:
ANYmal Parkour: Learning Agile Navigation for Quadrupedal Robots. CoRR abs/2306.14874 (2023) - [i12]Chong Zhang, Nikita Rudin, David Hoeller, Marco Hutter:
Learning Agile Locomotion on Risky Terrains. CoRR abs/2311.10484 (2023) - 2022
- [j2]David Hoeller, Nikita Rudin, Christopher B. Choy, Animashree Anandkumar, Marco Hutter:
Neural Scene Representation for Locomotion on Structured Terrain. IEEE Robotics Autom. Lett. 7(4): 8667-8674 (2022) - [c9]Mayank Mittal, David Hoeller, Farbod Farshidian, Marco Hutter, Animesh Garg:
Articulated Object Interaction in Unknown Scenes with Whole-Body Mobile Manipulation. IROS 2022: 1647-1654 - [c8]Nikita Rudin, David Hoeller, Marko Bjelonic, Marco Hutter:
Advanced Skills by Learning Locomotion and Local Navigation End-to-End. IROS 2022: 2497-2503 - [c7]Jonas Frey, David Hoeller, Shehryar Khattak, Marco Hutter:
Locomotion Policy Guided Traversability Learning using Volumetric Representations of Complex Environments. IROS 2022: 5722-5729 - [i11]Jonas Frey, David Hoeller, Shehryar Khattak, Marco Hutter:
Locomotion Policy Guided Traversability Learning using Volumetric Representations of Complex Environments. CoRR abs/2203.15854 (2022) - [i10]David Hoeller, Nikita Rudin, Christopher B. Choy, Animashree Anandkumar, Marco Hutter:
Neural Scene Representation for Locomotion on Structured Terrain. CoRR abs/2206.08077 (2022) - [i9]Nikita Rudin, David Hoeller, Marko Bjelonic, Marco Hutter:
Advanced Skills by Learning Locomotion and Local Navigation End-to-End. CoRR abs/2209.12827 (2022) - 2021
- [j1]David Hoeller, Lorenz Wellhausen, Farbod Farshidian, Marco Hutter:
Learning a State Representation and Navigation in Cluttered and Dynamic Environments. IEEE Robotics Autom. Lett. 6(3): 5081-5088 (2021) - [c6]Nikita Rudin, David Hoeller, Philipp Reist, Marco Hutter:
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning. CoRL 2021: 91-100 - [c5]Visak Kumar, David Hoeller, Balakumar Sundaralingam, Jonathan Tremblay, Stan Birchfield:
Joint Space Control via Deep Reinforcement Learning. IROS 2021: 3619-3626 - [c4]Viktor Makoviychuk, Lukasz Wawrzyniak, Yunrong Guo, Michelle Lu, Kier Storey, Miles Macklin, David Hoeller, Nikita Rudin, Arthur Allshire, Ankur Handa, Gavriel State:
Isaac Gym: High Performance GPU Based Physics Simulation For Robot Learning. NeurIPS Datasets and Benchmarks 2021 - [i8]David Hoeller, Lorenz Wellhausen, Farbod Farshidian, Marco Hutter:
Learning a State Representation and Navigation in Cluttered and Dynamic Environments. CoRR abs/2103.04351 (2021) - [i7]Mayank Mittal, David Hoeller, Farbod Farshidian, Marco Hutter, Animesh Garg:
Articulated Object Interaction in Unknown Scenes with Whole-Body Mobile Manipulation. CoRR abs/2103.10534 (2021) - [i6]Viktor Makoviychuk, Lukasz Wawrzyniak, Yunrong Guo, Michelle Lu, Kier Storey, Miles Macklin, David Hoeller, Nikita Rudin, Arthur Allshire, Ankur Handa, Gavriel State:
Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning. CoRR abs/2108.10470 (2021) - [i5]Nikita Rudin, David Hoeller, Philipp Reist, Marco Hutter:
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning. CoRR abs/2109.11978 (2021) - 2020
- [c3]Xingye Da, Zhaoming Xie, David Hoeller, Byron Boots, Anima Anandkumar, Yuke Zhu, Buck Babich, Animesh Garg:
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion. CoRL 2020: 883-894 - [c2]Napat Karnchanachari, Miguel de la Iglesia Valls, David Hoeller, Marco Hutter:
Practical Reinforcement Learning For MPC: Learning from sparse objectives in under an hour on a real robot. L4DC 2020: 211-224 - [i4]Napat Karnchanachari, Miguel de la Iglesia Valls, David Hoeller, Marco Hutter:
Practical Reinforcement Learning For MPC: Learning from sparse objectives in under an hour on a real robot. CoRR abs/2003.03200 (2020) - [i3]Xingye Da, Zhaoming Xie, David Hoeller, Byron Boots, Animashree Anandkumar, Yuke Zhu, Buck Babich, Animesh Garg:
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion. CoRR abs/2009.10019 (2020) - [i2]Visak Kumar, David Hoeller, Balakumar Sundaralingam, Jonathan Tremblay, Stan Birchfield:
Joint Space Control via Deep Reinforcement Learning. CoRR abs/2011.06332 (2020)
2010 – 2019
- 2019
- [c1]David Hoeller, Farbod Farshidian, Marco Hutter:
Deep Value Model Predictive Control. CoRL 2019: 990-1004 - [i1]Farbod Farshidian, David Hoeller, Marco Hutter:
Deep Value Model Predictive Control. CoRR abs/1910.03358 (2019)
Coauthor Index
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