David Hoeller

According to our database, David Hoeller authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

ANYmal parkour: Learning agile navigation for quadrupedal robots.

David Hoeller, Nikita Rudin, Dhionis V. Sako, Marco Hutter

Sci. Robotics, 2024

2023

Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments.

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

IEEE Robotics Autom. Lett., June, 2023

Learning Agile Locomotion on Risky Terrains.

Chong Zhang, Nikita Rudin, David Hoeller, Marco Hutter

CoRR, 2023

ORBIT: A Unified Simulation Framework for Interactive Robot Learning Environments.

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

CoRR, 2023

2022

Neural Scene Representation for Locomotion on Structured Terrain.

David Hoeller, Nikita Rudin, Christopher B. Choy, Animashree Anandkumar, Marco Hutter

IEEE Robotics Autom. Lett., 2022

Advanced Skills by Learning Locomotion and Local Navigation End-to-End.

Nikita Rudin, David Hoeller, Marko Bjelonic, Marco Hutter

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Articulated Object Interaction in Unknown Scenes with Whole-Body Mobile Manipulation.

Mayank Mittal, David Hoeller, Farbod Farshidian, Marco Hutter, Animesh Garg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Locomotion Policy Guided Traversability Learning using Volumetric Representations of Complex Environments.

Jonas Frey, David Hoeller, Shehryar Khattak, Marco Hutter

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Learning a State Representation and Navigation in Cluttered and Dynamic Environments.

David Hoeller, Lorenz Wellhausen, Farbod Farshidian, Marco Hutter

IEEE Robotics Autom. Lett., 2021

Isaac Gym: High Performance GPU Based Physics Simulation For Robot Learning.

Viktor Makoviychuk, Lukasz Wawrzyniak, Yunrong Guo, Michelle Lu, Kier Storey, Miles Macklin, David Hoeller, Nikita Rudin, Arthur Allshire, Ankur Handa, Gavriel State

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Joint Space Control via Deep Reinforcement Learning.

Visak Kumar, David Hoeller, Balakumar Sundaralingam, Jonathan Tremblay, Stan Birchfield

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning.

Nikita Rudin, David Hoeller, Philipp Reist, Marco Hutter

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Practical Reinforcement Learning For MPC: Learning from sparse objectives in under an hour on a real robot.

Napat Karnchanachari, Miguel de la Iglesia Valls, David Hoeller, Marco Hutter

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion.

Xingye Da, Zhaoming Xie, David Hoeller, Byron Boots, Anima Anandkumar, Yuke Zhu, Buck Babich, Animesh Garg

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Deep Value Model Predictive Control.

David Hoeller, Farbod Farshidian, Marco Hutter

Proceedings of the 3rd Annual Conference on Robot Learning, 2019