David Hoeller

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 27

Top Topics

Adaptive Controller

Reinforcement Learning

Scene Representation

Complex Environments

Top Venues

IEEE Robotics Autom. Lett.

Publications

David Hoeller, Nikita Rudin, Dhionis V. Sako, Marco Hutter
ANYmal parkour: Learning agile navigation for quadrupedal robots. Sci. Robotics 9 (88) (2024)
David Hoeller, Nikita Rudin, Dhionis V. Sako, Marco Hutter
ANYmal Parkour: Learning Agile Navigation for Quadrupedal Robots. CoRR (2023)
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) (2023)
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 (2023)
Chong Zhang, Nikita Rudin, David Hoeller, Marco Hutter
Learning Agile Locomotion on Risky Terrains. CoRR (2023)
Nikita Rudin, David Hoeller, Marko Bjelonic, Marco Hutter
Advanced Skills by Learning Locomotion and Local Navigation End-to-End. CoRR (2022)
Nikita Rudin, David Hoeller, Marko Bjelonic, Marco Hutter
Advanced Skills by Learning Locomotion and Local Navigation End-to-End. IROS (2022)
Jonas Frey, David Hoeller, Shehryar Khattak, Marco Hutter
Locomotion Policy Guided Traversability Learning using Volumetric Representations of Complex Environments. CoRR (2022)
Jonas Frey, David Hoeller, Shehryar Khattak, Marco Hutter
Locomotion Policy Guided Traversability Learning using Volumetric Representations of Complex Environments. IROS (2022)
Mayank Mittal, David Hoeller, Farbod Farshidian, Marco Hutter, Animesh Garg
Articulated Object Interaction in Unknown Scenes with Whole-Body Mobile Manipulation. IROS (2022)
David Hoeller, Nikita Rudin, Christopher B. Choy, Animashree Anandkumar, Marco Hutter
Neural Scene Representation for Locomotion on Structured Terrain. CoRR (2022)
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) (2022)
David Hoeller, Lorenz Wellhausen, Farbod Farshidian, Marco Hutter
Learning a State Representation and Navigation in Cluttered and Dynamic Environments. CoRR (2021)
Nikita Rudin, David Hoeller, Philipp Reist, Marco Hutter
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning. CoRL (2021)
Visak Kumar, David Hoeller, Balakumar Sundaralingam, Jonathan Tremblay, Stan Birchfield
Joint Space Control via Deep Reinforcement Learning. IROS (2021)
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) (2021)
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)
Mayank Mittal, David Hoeller, Farbod Farshidian, Marco Hutter, Animesh Garg
Articulated Object Interaction in Unknown Scenes with Whole-Body Mobile Manipulation. CoRR (2021)
Nikita Rudin, David Hoeller, Philipp Reist, Marco Hutter
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning. CoRR (2021)
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 (2021)
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 (2020)
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 (2020)
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)
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)
Visak Kumar, David Hoeller, Balakumar Sundaralingam, Jonathan Tremblay, Stan Birchfield
Joint Space Control via Deep Reinforcement Learning. CoRR (2020)
David Hoeller, Farbod Farshidian, Marco Hutter
Deep Value Model Predictive Control. CoRL (2019)
Farbod Farshidian, David Hoeller, Marco Hutter
Deep Value Model Predictive Control. CoRR (2019)