Arthur Allshire

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 19

Top Topics

Reinforcement Learning

Top Venues

NeurIPS (Competition and Demos)

Publications

Mayank Mittal, Nikita Rudin, Victor Klemm, Arthur Allshire, Marco Hutter
Symmetry Considerations for Learning Task Symmetric Robot Policies. ICRA (2024)
Karl Van Wyk, Ankur Handa, Viktor Makoviychuk, Yijie Guo, Arthur Allshire, Nathan D. Ratliff
Geometric Fabrics: a Safe Guiding Medium for Policy Learning. ICRA (2024)
Karl Van Wyk, Ankur Handa, Viktor Makoviychuk, Yijie Guo, Arthur Allshire, Nathan D. Ratliff
Geometric Fabrics: a Safe Guiding Medium for Policy Learning. CoRR (2024)
Tyler Ga Wei Lum, Martin Matak, Viktor Makoviychuk, Ankur Handa, Arthur Allshire, Tucker Hermans, Nathan D. Ratliff, Karl Van Wyk
DextrAH-G: Pixels-to-Action Dexterous Arm-Hand Grasping with Geometric Fabrics. CoRR (2024)
Mayank Mittal, Nikita Rudin, Victor Klemm, Arthur Allshire, Marco Hutter
Symmetry Considerations for Learning Task Symmetric Robot Policies. CoRR (2024)
Ankur Handa, Arthur Allshire, Viktor Makoviychuk, Aleksei Petrenko, Ritvik Singh, Jingzhou Liu, Denys Makoviichuk, Karl Van Wyk, Alexander Zhurkevich, Balakumar Sundaralingam, Yashraj S. Narang
DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality. ICRA (2023)
Nico Gürtler, Felix Widmaier, Cansu Sancaktar, Sebastian Blaes, Pavel Kolev, Stefan Bauer, Manuel Wüthrich, Markus Wulfmeier, Martin A. Riedmiller, Arthur Allshire, Qiang Wang, Robert McCarthy, Hangyeol Kim, Jongchan Baek Pohang, Wookyong Kwon, Shanliang Qian, Yasunori Toshimitsu, Mike Yan Michelis, Amirhossein Kazemipour, Arman Raayatsanati, Hehui Zheng, Barnabas Gavin Cangan, Bernhard Schölkopf, Georg Martius
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World. CoRR (2023)
Aleksei Petrenko, Arthur Allshire, Gavriel State, Ankur Handa, Viktor Makoviychuk
DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training. Robotics: Science and Systems (2023)
Aleksei Petrenko, Arthur Allshire, Gavriel State, Ankur Handa, Viktor Makoviychuk
DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training. CoRR (2023)
Ankur Handa, Arthur Allshire, Viktor Makoviychuk, Aleksei Petrenko, Ritvik Singh, Jingzhou Liu, Denys Makoviichuk, Karl Van Wyk, Alexander Zhurkevich, Balakumar Sundaralingam, Yashraj Narang, Jean-Francois Lafleche, Dieter Fox, Gavriel State
DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality. CoRR (2022)
Arthur Allshire, Mayank Mittal, Varun Lodaya, Viktor Makoviychuk, Denys Makoviichuk, Felix Widmaier, Manuel Wüthrich, Stefan Bauer, Ankur Handa, Animesh Garg
Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger. IROS (2022)
Arthur Allshire, Roberto Martín-Martín, Charles Lin, Shawn Manuel, Silvio Savarese, Animesh Garg
LASER: Learning a Latent Action Space for Efficient Reinforcement Learning. CoRR (2021)
Stefan Bauer, Felix Widmaier, Manuel Wüthrich, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Charles B. Schaff, Takahiro Maeda, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Annika Buchholz, Sebastian Stark, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vaibhav Agrawal, Bernhard Schölkopf
A Robot Cluster for Reproducible Research in Dexterous Manipulation. CoRR (2021)
Nico Gürtler, Felix Widmaier, Cansu Sancaktar, Sebastian Blaes, Pavel Kolev, Stefan Bauer, Manuel Wüthrich, Markus Wulfmeier, Martin A. Riedmiller, Arthur Allshire, Qiang Wang, Robert McCarthy, Hangyeol Kim, Jongchan Baek, Wookyong Kwon, Shanliang Qian, Yasunori Toshimitsu, Mike Yan Michelis, Amirhossein Kazemipour, Arman Raayatsanati, Hehui Zheng, Barnabas Gavin Cangan, Bernhard Schölkopf, Georg Martius
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World. NeurIPS (Competition and Demos) (2021)
Stefan Bauer, Manuel Wüthrich, Felix Widmaier, Annika Buchholz, Sebastian Stark, Anirudh Goyal, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vincent Berenz, Vaibhav Agrawal, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Takahiro Maeda, Harshit Sikchi, Jilong Wang, Qingfeng Yao, Shuyu Yang, Robert McCarthy, Francisco Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond, Bernhard Schölkopf
Real Robot Challenge: A Robotics Competition in the Cloud. NeurIPS (Competition and Demos) (2021)
Arthur Allshire, Mayank Mittal, Varun Lodaya, Viktor Makoviychuk, Denys Makoviichuk, Felix Widmaier, Manuel Wüthrich, Stefan Bauer, Ankur Handa, Animesh Garg
Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger. 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. NeurIPS Datasets and Benchmarks (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)
Arthur Allshire, Roberto Martín-Martín, Charles Lin, Shawn Manuel, Silvio Savarese, Animesh Garg
LASER: Learning a Latent Action Space for Efficient Reinforcement Learning. ICRA (2021)