Learning Coordinated Bimanual Manipulation Policies using State Diffusion and Inverse Dynamics Models

30 March 2025

Katherine Driggs-Campbell

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Papers citing "Learning Coordinated Bimanual Manipulation Policies using State Diffusion and Inverse Dynamics Models"

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Title
Safe Flow Matching: Robot Motion Planning with Control Barrier Functions X. Dai Dian Yu Shanshan Zhang Zewen Yang Hamid Sadeghian Sami Haddadin Sandra Hirche 71 1 0 11 Apr 2025
Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots Cheng Chi Zhenjia Xu Chuer Pan Eric A. Cousineau Benjamin Burchfiel Siyuan Feng Russ Tedrake Shuran Song 66 216 0 15 Feb 2024
Diffusion Reward: Learning Rewards via Conditional Video Diffusion Tao Huang Guangqi Jiang Yanjie Ze Huazhe Xu VGen 89 25 0 21 Dec 2023
Learning Task Skills and Goals Simultaneously from Physical Interaction Haonan Chen Ye-Ji Mun Zhe Huang Yilong Niu Yiqing Xie D. L. McPherson Katherine Driggs-Campbell 34 1 0 08 Sep 2023
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion Cheng Chi Zhenjia Xu S. Feng Eric A. Cousineau Yilun Du Benjamin Burchfiel Russ Tedrake Shuran Song 326 1,170 0 07 Mar 2023
Is Conditional Generative Modeling all you need for Decision-Making? Anurag Ajay Yilun Du Abhi Gupta J. Tenenbaum Tommi Jaakkola Pulkit Agrawal DiffM 113 394 0 28 Nov 2022
RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks Haochen Shi Huazhe Xu Zhiao Huang Yunzhu Li Jiajun Wu 68 63 0 05 May 2022
Video Diffusion Models Jonathan Ho Tim Salimans Alexey A. Gritsenko William Chan Mohammad Norouzi David J. Fleet DiffM VGen 165 1,608 0 07 Apr 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 372 15,454 0 20 Dec 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 303 3,671 0 18 Feb 2021
Where2Act: From Pixels to Actions for Articulated 3D Objects Kaichun Mo Leonidas Guibas Mustafa Mukadam Abhinav Gupta Shubham Tulsiani 188 185 0 07 Jan 2021
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting Yuan Yin Vincent Le Guen Jérémie Donà Emmanuel de Bézenac Ibrahim Ayed Nicolas Thome Patrick Gallinari AI4CE PINN 71 135 0 09 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 522 18,008 0 19 Jun 2020
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation Wilson Yan Ashwin Vangipuram Pieter Abbeel Lerrel Pinto 75 190 0 11 Mar 2020
CoPhy: Counterfactual Learning of Physical Dynamics Fabien Baradel Natalia Neverova J. Mille Greg Mori Christian Wolf CML AI4CE 87 97 0 26 Sep 2019
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections Ofir Nachum Yinlam Chow Bo Dai Lihong Li OffRL 137 336 0 10 Jun 2019
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction Aviral Kumar Justin Fu George Tucker Sergey Levine OffRL OnRL 109 1,055 0 03 Jun 2019
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids Yunzhu Li Jiajun Wu Russ Tedrake J. Tenenbaum Antonio Torralba PINN AI4CE 69 397 0 03 Oct 2018
Flexible Neural Representation for Physics Prediction Damian Mrowca Chengxu Zhuang E. Wang Nick Haber Li Fei-Fei J. Tenenbaum Daniel L. K. Yamins OCL AI4CE 56 249 0 21 Jun 2018
World Models David R Ha Jürgen Schmidhuber SyDa 113 1,079 0 27 Mar 2018
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning Justin Fu Katie Z Luo Sergey Levine 121 751 0 30 Oct 2017
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 378 440 0 01 Dec 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 131 3,101 0 10 Jun 2016