Motion Policy Networks

21 October 2022

Papers citing "Motion Policy Networks"

41 / 41 papers shown

Title
ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation Yufei Wang Ziyu Wang Mino Nakura Pratik Bhowal Chia-Liang Kuo Yi-Ting Chen Zackory M. Erickson David Held 124 0 0 04 Mar 2025
HAMSTER: Hierarchical Action Models For Open-World Robot Manipulation Yi Li Yuquan Deng Jing Zhang Joel Jang Marius Memme ... Fabio Ramos Dieter Fox Anqi Li Abhishek Gupta Ankit Goyal LM&Ro 140 15 0 08 Feb 2025
Planning-Guided Diffusion Policy Learning for Generalizable Contact-Rich Bimanual Manipulation Xuanlin Li Tong Zhao Xinghao Zhu Jiuguang Wang Tao Pang Kuan Fang 148 4 0 03 Dec 2024
Generalizable Motion Planning via Operator Learning Sharath Matada Luke Bhan Yuanyuan Shi Nikolay Atanasov 87 0 0 23 Oct 2024
M3Bench: Benchmarking Whole-body Motion Generation for Mobile Manipulation in 3D Scenes Zeyu Zhang Sixu Yan Muzhi Han Zaijin Wang Xinggang Wang Song-Chun Zhu Hangxin Liu 92 2 0 09 Oct 2024
Differentiable Spatial Planning using Transformers Devendra Singh Chaplot Deepak Pathak Jitendra Malik 118 39 0 02 Dec 2021
Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior Karl Van Wyk Mandy Xie Anqi Li M. A. Rana Buck Babich ... Iretiayo Akinola Balakumar Sundaralingam Dieter Fox Byron Boots Nathan D. Ratliff AI4CE 106 41 0 21 Sep 2021
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation Ajay Mandlekar Danfei Xu J. Wong Soroush Nasiriany Chen Wang Rohun Kulkarni Li Fei-Fei Silvio Savarese Yuke Zhu Roberto Martín-Martín OffRL 287 508 0 06 Aug 2021
NeRP: Neural Rearrangement Planning for Unknown Objects A. H. Qureshi Arsalan Mousavian Chris Paxton Michael C. Yip Dieter Fox 61 63 0 02 Jun 2021
STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation M. Bhardwaj Balakumar Sundaralingam Arsalan Mousavian Nathan D. Ratliff Dieter Fox Fabio Ramos Byron Boots 57 111 0 28 Apr 2021
Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes M. Sundermeyer Arsalan Mousavian Rudolph Triebel Dieter Fox 3DPC 76 362 0 25 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 927 29,436 0 26 Feb 2021
Object Rearrangement Using Learned Implicit Collision Functions Michael Danielczuk Arsalan Mousavian Clemens Eppner Dieter Fox 3DPC 72 78 0 21 Nov 2020
C-Learning: Learning to Achieve Goals via Recursive Classification Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 64 71 0 17 Nov 2020
Grasping with Chopsticks: Combating Covariate Shift in Model-free Imitation Learning for Fine Manipulation Liyiming Ke Jingqiang Wang Tapomayukh Bhattacharjee Byron Boots S. Srinivasa 42 42 0 13 Nov 2020
Learning Sampling Distributions Using Local 3D Workspace Decompositions for Motion Planning in High Dimensions Constantinos Chamzas Zachary Kingston Carlos Quintero-Peña Anshumali Shrivastava Lydia E. Kavraki 84 39 0 29 Oct 2020
Learning Obstacle Representations for Neural Motion Planning Robin Strudel Ricardo Garcia Pinel Justin Carpentier J. Laumond Ivan Laptev Cordelia Schmid SSL 44 35 0 25 Aug 2020
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis B. Mildenhall Pratul P. Srinivasan Matthew Tancik Jonathan T. Barron R. Ramamoorthi Ren Ng 129 2,594 0 19 Mar 2020
Adaptively Informed Trees (AIT*): Fast Asymptotically Optimal Path Planning through Adaptive Heuristics Marlin P. Strub Jonathan Gammell 60 82 0 16 Feb 2020
Advanced BIT* (ABIT*): Sampling-Based Planning with Advanced Graph-Search Techniques Marlin P. Strub Jonathan Gammell 42 74 0 16 Feb 2020
LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning Rahul Kumar Aditya Mandalika Sanjiban Choudhury S. Srinivasa 72 59 0 22 Jul 2019
Harnessing Reinforcement Learning for Neural Motion Planning Tom Jurgenson Aviv Tamar OOD 78 65 0 01 Jun 2019
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation Arsalan Mousavian Clemens Eppner Dieter Fox 3DPC 86 565 0 25 May 2019
Exploring the Limitations of Behavior Cloning for Autonomous Driving Felipe Codevilla Eder Santana Antonio M. López Adrien Gaidon 51 543 0 18 Apr 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 131 3,688 0 16 Jan 2019
An Algorithmic Perspective on Imitation Learning Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters 88 845 0 16 Nov 2018
Motion Planning Networks A. H. Qureshi Anthony Simeonov M. J. Bency Michael C. Yip 3DPC 47 238 0 14 Jun 2018
Learning Implicit Sampling Distributions for Motion Planning Clark Zhang Jinwook Huh Daniel D. Lee 35 77 0 06 Jun 2018
Riemannian Motion Policies Nathan D. Ratliff J. Issac Daniel Kappler Stan Birchfield Dieter Fox 58 147 0 09 Jan 2018
Learning Sampling Distributions for Robot Motion Planning Brian Ichter James Harrison Marco Pavone 51 353 0 16 Sep 2017
Continuous-Time Gaussian Process Motion Planning via Probabilistic Inference Mustafa Mukadam Jing Dong Xinyan Yan F. Dellaert Byron Boots GP 48 216 0 24 Jul 2017
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 248 2,328 0 05 Jul 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space C. Qi L. Yi Hao Su Leonidas Guibas 3DPC 3DV 348 11,113 0 07 Jun 2017
DART: Noise Injection for Robust Imitation Learning Michael Laskey Jonathan Lee Roy Fox Anca Dragan Ken Goldberg 191 247 0 27 Mar 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 484 14,320 0 02 Dec 2016
Value Iteration Networks Aviv Tamar Yi Wu G. Thomas Sergey Levine Pieter Abbeel 76 653 0 09 Feb 2016
Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels Ishan Misra C. L. Zitnick Margaret Mitchell Ross B. Girshick NoLa 56 219 0 22 Dec 2015
Learning Visual Features from Large Weakly Supervised Data Armand Joulin Laurens van der Maaten Allan Jabri Nicolas Vasilache SSL 105 406 0 06 Nov 2015
Batch Informed Trees (BIT*): Sampling-based Optimal Planning via the Heuristically Guided Search of Implicit Random Geometric Graphs Jonathan Gammell S. Srinivasa Timothy D. Barfoot 76 450 0 22 May 2014
Sampling-based Algorithms for Optimal Motion Planning S. Karaman Emilio Frazzoli 102 4,693 0 05 May 2011
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 222 3,221 0 02 Nov 2010