The State of Robot Motion Generation

16 October 2024

Papers citing "The State of Robot Motion Generation"

32 / 32 papers shown

Title
Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness Aidan Curtis George Matheos Nishad Gothoskar Vikash K. Mansinghka Joshua Tenenbaum Tomás Lozano-Pérez L. Kaelbling 75 11 0 15 Mar 2024
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 349 1,231 0 07 Mar 2023
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning Homer Walke Jonathan Yang Albert Yu Aviral Kumar Jedrzej Orbik Avi Singh Sergey Levine OffRL OnRL 69 31 0 11 Jul 2022
Modular Lifelong Reinforcement Learning via Neural Composition Jorge Armando Mendez Mendez H. V. Seijen Eric Eaton OffRL KELM CLL 134 41 0 01 Jul 2022
When Should We Prefer Offline Reinforcement Learning Over Behavioral Cloning? Aviral Kumar Joey Hong Anika Singh Sergey Levine OffRL 110 82 0 12 Apr 2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances Michael Ahn Anthony Brohan Noah Brown Yevgen Chebotar Omar Cortes ... Ted Xiao Peng Xu Sichun Xu Mengyuan Yan Andy Zeng LM&Ro 192 1,984 0 04 Apr 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 301 924 0 12 Oct 2021
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning Lukas Brunke Melissa Greeff Adam W. Hall Zhaocong Yuan Siqi Zhou Jacopo Panerati Angela P. Schoellig OffRL 63 629 0 13 Aug 2021
KDF: Kinodynamic Motion Planning via Geometric Sampling-based Algorithms and Funnel Control Christos K. Verginis Dimos V. Dimarogonas Lydia E. Kavraki 74 16 0 24 Apr 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 156 533 0 04 Feb 2021
Integrated Task and Motion Planning Caelan Reed Garrett Rohan Chitnis Rachel Holladay Beomjoon Kim Tom Silver L. Kaelbling Tomás Lozano-Pérez 100 502 0 02 Oct 2020
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 143 1,831 0 08 Jun 2020
MOPO: Model-based Offline Policy Optimization Tianhe Yu G. Thomas Lantao Yu Stefano Ermon James Zou Sergey Levine Chelsea Finn Tengyu Ma OffRL 78 773 0 27 May 2020
TossingBot: Learning to Throw Arbitrary Objects with Residual Physics Andy Zeng Shuran Song Johnny Lee Alberto Rodriguez Thomas Funkhouser 110 383 0 27 Mar 2019
Experience Replay for Continual Learning David Rolnick Arun Ahuja Jonathan Richard Schwarz Timothy Lillicrap Greg Wayne CLL 116 1,171 0 28 Nov 2018
A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress Saurabh Arora Prashant Doshi OffRL 86 610 0 18 Jun 2018
Kickstarting Deep Reinforcement Learning Simon Schmitt Jonathan J. Hudson Augustin Žídek Simon Osindero Carl Doersch ... Joel Z Leibo Heinrich Küttler Andrew Zisserman Karen Simonyan S. M. Ali Eslami OnRL 62 132 0 10 Mar 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 189 5,212 0 26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,406 0 04 Jan 2018
Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation Tianhao Zhang Zoe McCarthy Owen Jow Dennis Lee Xi Chen Ken Goldberg Pieter Abbeel SSL 100 660 0 12 Oct 2017
A Survey on Multi-Task Learning Yu Zhang Qiang Yang AIMat 605 2,240 0 25 Jul 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 535 19,265 0 20 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 274 2,337 0 05 Jul 2017
DART: Noise Injection for Robust Imitation Learning Michael Laskey Jonathan Lee Roy Fox Anca Dragan Ken Goldberg 193 248 0 27 Mar 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 259 2,972 0 20 Mar 2017
Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning Abhishek Gupta Coline Devin YuXuan Liu Pieter Abbeel Sergey Levine 91 269 0 08 Mar 2017
DESPOT: Online POMDP Planning with Regularization N. Ye A. Somani David Hsu Wee Sun Lee 97 509 0 12 Sep 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 325 13,286 0 09 Sep 2015
Asymptotically Optimal Planning by Feasible Kinodynamic Planning in State-Cost Space Kris K. Hauser Yilun Zhou 59 96 0 15 May 2015
Generating Sequences With Recurrent Neural Networks Alex Graves GAN 164 4,039 0 04 Aug 2013
Sampling-based Algorithms for Optimal Motion Planning S. Karaman Emilio Frazzoli 107 4,698 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 244 3,233 0 02 Nov 2010