Platt, Robert

29 publications

NeurIPS 2025 3D Equivariant Visuomotor Policy Learning via Spherical Projection Boce Hu, Dian Wang, David Klee, Heng Tian, Xupeng Zhu, Haojie Huang, Robert Platt, Robin Walters

NeurIPS 2025 A Practical Guide for Incorporating Symmetry in Diffusion Policy Dian Wang, Boce Hu, Shuran Song, Robin Walters, Robert Platt

NeurIPS 2025 Bridging Equivariant GNNs and Spherical CNNs for Structured Physical Domains Colin Kohler, Purvik Patel, Nathan Vaska, Justin Goodwin, Matthew C. Jones, Robert Platt, Rajmonda S. Caceres, Robin Walters

ICML 2025 Hierarchical Equivariant Policy via Frame Transfer Haibo Zhao, Dian Wang, Yizhe Zhu, Xupeng Zhu, Owen Lewis Howell, Linfeng Zhao, Yaoyao Qian, Robin Walters, Robert Platt

TMLR 2025 Leveraging Fully-Observable Solutions for Improved Partially-Observable Offline Reinforcement Learning Chulabhaya Wijesundara, Andrea Baisero, Gregory David Castanon, Alan S Carlin, Robert Platt, Christopher Amato

CoRL 2024 Equivariant Diffusion Policy Dian Wang, Stephen Hart, David Surovik, Tarik Kelestemur, Haojie Huang, Haibo Zhao, Mark Yeatman, Jiuguang Wang, Robin Walters, Robert Platt

ICLR 2024 Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D Haojie Huang, Owen Lewis Howell, Dian Wang, Xupeng Zhu, Robert Platt, Robin Walters

CoRL 2024 IMAGINATION POLICY: Using Generative Point Cloud Models for Learning Manipulation Policies Haojie Huang, Karl Schmeckpeper, Dian Wang, Ondrej Biza, Yaoyao Qian, Haotian Liu, Mingxi Jia, Robert Platt, Robin Walters

CoRL 2024 Leveraging Mutual Information for Asymmetric Learning Under Partial Observability Hai Huu Nguyen, Long Dinh Van The, Christopher Amato, Robert Platt

CoRL 2024 OrbitGrasp: SE(3)-Equivariant Grasp Learning Boce Hu, Xupeng Zhu, Dian Wang, Zihao Dong, Haojie Huang, Chenghao Wang, Robin Walters, Robert Platt

CoRL 2024 ThinkGrasp: A Vision-Language System for Strategic Part Grasping in Clutter Yaoyao Qian, Xupeng Zhu, Ondrej Biza, Shuo Jiang, Linfeng Zhao, Haojie Huang, Yu Qi, Robert Platt

NeurIPSW 2023 A Comparison of Equivariant Vision Models with ImageNet Pre-Training David Klee, Jung Yeon Park, Robert Platt, Robin Walters

NeurIPS 2023 A General Theory of Correct, Incorrect, and Extrinsic Equivariance Dian Wang, Xupeng Zhu, Jung Yeon Park, Mingxi Jia, Guanang Su, Robert Platt, Robin Walters

CoRL 2023 Equivariant Reinforcement Learning Under Partial Observability Hai Huu Nguyen, Andrea Baisero, David Klee, Dian Wang, Robert Platt, Christopher Amato

ICLR 2023 Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction David Klee, Ondrej Biza, Robert Platt, Robin Walters

CoRL 2023 One-Shot Imitation Learning via Interaction Warping Ondrej Biza, Skye Thompson, Kishore Reddy Pagidi, Abhinav Kumar, Elise van der Pol, Robin Walters, Thomas Kipf, Jan-Willem van de Meent, Lawson L. S. Wong, Robert Platt

ICLR 2023 The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry Dian Wang, Jung Yeon Park, Neel Sortur, Lawson L.S. Wong, Robin Walters, Robert Platt

NeurIPSW 2023 The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry Dian Wang, Jung Yeon Park, Neel Sortur, Lawson Wong, Robin Walters, Robert Platt

ICLR 2022 $\mathrm{SO}(2)$-Equivariant Reinforcement Learning Dian Wang, Robin Walters, Robert Platt

ICLRW 2022 Binding Actions to Objects in World Models Ondrej Biza, Robert Platt, Jan-Willem van de Meent, Lawson L.S. Wong, Thomas Kipf

NeurIPSW 2022 Deep Transformer Q-Networks for Partially Observable Reinforcement Learning Kevin Esslinger, Robert Platt, Christopher Amato

NeurIPSW 2022 Image to Icosahedral Projection for $\mathrm{SO}(3)$ Object Reasoning from Single-View Images David Klee, Ondrej Biza, Robert Platt, Robin Walters

CoRL 2022 Leveraging Fully Observable Policies for Learning Under Partial Observability Hai Huu Nguyen, Andrea Baisero, Dian Wang, Christopher Amato, Robert Platt

CoRL 2022 On-Robot Learning with Equivariant Models Dian Wang, Mingxi Jia, Xupeng Zhu, Robin Walters, Robert Platt

CoRL 2021 Equivariant $q$ Learning in Spatial Action Spaces Dian Wang, Robin Walters, Xupeng Zhu, Robert Platt

CoRL 2020 Belief-Grounded Networks for Accelerated Robot Learning Under Partial Observability Hai Nguyen, Brett Daley, Xinchao Song, Christopher Amato, Robert Platt

CoRL 2020 Policy Learning in SE(3) Action Spaces Dian Wang, Colin Kohler, Robert Platt

ICLR 2019 Learning Multi-Level Hierarchies with Hindsight Andrew Levy, George Konidaris, Robert Platt, Kate Saenko

NeurIPS 2004 Coarticulation in Markov Decision Processes Khashayar Rohanimanesh, Robert Platt, Sridhar Mahadevan, Roderic Grupen