Deep Visual Foresight for Planning Robot Motion

3 October 2016

Papers citing "Deep Visual Foresight for Planning Robot Motion"

50 / 183 papers shown

Title
P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision Henghui Zhao Isma Hadji Nikita Dvornik Konstantinos G. Derpanis Richard P. Wildes Allan D. Jepson 36 45 0 04 May 2022
Learning Forward Dynamics Model and Informed Trajectory Sampler for Safe Quadruped Navigation Yunho Kim Chanyoung Kim Jemin Hwangbo 41 10 0 19 Apr 2022
Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models Ali Ghadirzadeh Petra Poklukar Karol Arndt Chelsea Finn Ville Kyrki Danica Kragic Mårten Björkman OffRL 22 1 0 18 Apr 2022
Simple and Effective Synthesis of Indoor 3D Scenes Jing Yu Koh Harsh Agrawal Dhruv Batra Richard Tucker Austin Waters Honglak Lee Yinfei Yang Jason Baldridge Peter Anderson VGen 3DV 29 30 0 06 Apr 2022
Augment-Connect-Explore: a Paradigm for Visual Action Planning with Data Scarcity M. Lippi Michael C. Welle Petra Poklukar Alessandro Marino Danica Kragic 32 3 0 24 Mar 2022
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation Bokui Shen Zhenyu Jiang Chris Choy Leonidas J. Guibas Silvio Savarese Anima Anandkumar Yuke Zhu AI4CE 19 41 0 14 Mar 2022
All You Need is LUV: Unsupervised Collection of Labeled Images using Invisible UV Fluorescent Indicators Brijen Thananjeyan Justin Kerr Huang Huang Joseph E. Gonzalez Ken Goldberg 34 9 0 09 Mar 2022
Transporters with Visual Foresight for Solving Unseen Rearrangement Tasks Hongtao Wu Jikai Ye Xin Meng Chris Paxton Gregory Chirikjian 76 17 0 22 Feb 2022
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning Eric Jang A. Irpan Mohi Khansari Daniel Kappler F. Ebert Corey Lynch Sergey Levine Chelsea Finn LM&Ro 72 520 0 04 Feb 2022
Tool as Embodiment for Recursive Manipulation Yukiyasu Noguchi T. Matsushima Y. Matsuo S. Gu 38 7 0 01 Dec 2021
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah Peng Xu Yao Lu Ted Xiao Alexander Toshev Sergey Levine Brian Ichter OffRL 37 41 0 04 Nov 2021
Discovering and Achieving Goals via World Models Russell Mendonca Oleh Rybkin Kostas Daniilidis Danijar Hafner Deepak Pathak 27 119 0 18 Oct 2021
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets F. Ebert Yanlai Yang Karl Schmeckpeper Bernadette Bucher G. Georgakis Kostas Daniilidis Chelsea Finn Sergey Levine 169 223 0 27 Sep 2021
VP-GO: a "light" action-conditioned visual prediction model Anji Ma Yoann Fleytoux Jean-Baptiste Mouret S. Ivaldi 25 0 0 26 Sep 2021
A Workflow for Offline Model-Free Robotic Reinforcement Learning Aviral Kumar Anika Singh Stephen Tian Chelsea Finn Sergey Levine OffRL 143 85 0 22 Sep 2021
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks Bohan Wu Suraj Nair Li Fei-Fei Chelsea Finn OffRL LM&Ro 45 24 0 21 Sep 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning Tianhe Yu Aviral Kumar Yevgen Chebotar Karol Hausman Sergey Levine Chelsea Finn OffRL 35 77 0 16 Sep 2021
Comparing Reconstruction- and Contrastive-based Models for Visual Task Planning Constantinos Chamzas M. Lippi Michael C. Welle Anastasia Varava Lydia E. Kavraki Danica Kragic SSL DRL OffRL 56 4 0 14 Sep 2021
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation Suraj Nair E. Mitchell Kevin Chen Brian Ichter Silvio Savarese Chelsea Finn LM&Ro OffRL 39 154 0 02 Sep 2021
Gap-Dependent Unsupervised Exploration for Reinforcement Learning Jingfeng Wu Vladimir Braverman Lin F. Yang 33 12 0 11 Aug 2021
Autonomous Reinforcement Learning via Subgoal Curricula Archit Sharma Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 27 27 0 27 Jul 2021
Excavation Learning for Rigid Objects in Clutter Qingkai Lu Liangjun Zhang 30 14 0 09 Jul 2021
Learning to See before Learning to Act: Visual Pre-training for Manipulation Yen-Chen Lin Andy Zeng Shuran Song Phillip Isola Nayeon Lee SSL 19 87 0 01 Jul 2021
Learning Task Informed Abstractions Xiang Fu Ge Yang Pulkit Agrawal Tommi Jaakkola 34 65 0 29 Jun 2021
Discovering Generalizable Skills via Automated Generation of Diverse Tasks Kuan Fang Yuke Zhu Silvio Savarese Li Fei-Fei 48 6 0 26 Jun 2021
FitVid: Overfitting in Pixel-Level Video Prediction Mohammad Babaeizadeh M. Saffar Suraj Nair Sergey Levine Chelsea Finn D. Erhan VLM 54 82 0 24 Jun 2021
Pushing it out of the Way: Interactive Visual Navigation Kuo-Hao Zeng Luca Weihs Ali Farhadi Roozbeh Mottaghi 26 30 0 28 Apr 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale Dmitry Kalashnikov Jacob Varley Yevgen Chebotar Benjamin Swanson Rico Jonschkowski Chelsea Finn Sergey Levine Karol Hausman OffRL 47 272 0 16 Apr 2021
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills Yevgen Chebotar Karol Hausman Yao Lu Ted Xiao Dmitry Kalashnikov ... A. Irpan Benjamin Eysenbach Ryan Julian Chelsea Finn Sergey Levine SSL OffRL 37 146 0 15 Apr 2021
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos Annie S. Chen Suraj Nair Chelsea Finn 38 137 0 31 Mar 2021
Robot Program Parameter Inference via Differentiable Shadow Program Inversion Bastian Alt Darko Katic Rainer Jäkel A. Bozcuoğlu Michael Beetz 14 10 0 26 Mar 2021
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning Yunbo Wang Haixu Wu Jianjin Zhang Zhifeng Gao Jianmin Wang Philip S. Yu Mingsheng Long 28 382 0 17 Mar 2021
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks Zhou Xian Shamit Lal H. Tung Emmanouil Antonios Platanios Katerina Fragkiadaki AI4CE 33 23 0 17 Mar 2021
DMotion: Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos Haoqi Yuan Ruihai Wu Andrew Zhao Hanwang Zhang Zihan Ding Hao Dong 19 3 0 07 Mar 2021
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction Bohan Wu Suraj Nair Roberto Martin-Martin Li Fei-Fei Chelsea Finn DRL 27 100 0 06 Mar 2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms Ali Ghadirzadeh Xi Chen Petra Poklukar Chelsea Finn Mårten Björkman Danica Kragic BDL 39 41 0 05 Mar 2021
Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap M. Lippi Petra Poklukar Michael C. Welle Anastasia Varava Hang Yin Alessandro Marino Danica Kragic 21 13 0 03 Mar 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 222 419 0 16 Feb 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 16 520 0 04 Feb 2021
SwingBot: Learning Physical Features from In-hand Tactile Exploration for Dynamic Swing-up Manipulation Chen Wang Shaoxiong Wang Branden Romero Filipe Veiga Edward H. Adelson 32 102 0 28 Jan 2021
Learning Temporal Dynamics from Cycles in Narrated Video Dave Epstein Jiajun Wu Cordelia Schmid Chen Sun AI4TS 38 14 0 07 Jan 2021
Variational Monocular Depth Estimation for Reliability Prediction Noriaki Hirose S. Taguchi Keisuke Kawano Satoshi Koide MDE 34 4 0 24 Nov 2020
Mutual Information Based Method for Unsupervised Disentanglement of Video Representation Aditya Sreekar Ujjwal Tiwari A. Namboodiri DRL 26 4 0 17 Nov 2020
Deep Affordance Foresight: Planning Through What Can Be Done in the Future Danfei Xu Ajay Mandlekar Roberto Martín-Martín Yuke Zhu Silvio Savarese Li Fei-Fei 33 71 0 17 Nov 2020
A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects Anthony Simeonov Yilun Du Beomjoon Kim F. Hogan J. Tenenbaum Pulkit Agrawal Alberto Rodriguez 3DPC 22 49 0 16 Nov 2020
Autonomously Navigating a Surgical Tool Inside the Eye by Learning from Demonstration Ji Woong Kim Changyan He Muller Urias Peter L. Gehlbach Gregory Hager I. Iordachita Marin Kobilarov 23 27 0 16 Nov 2020
ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning Yufei Wang G. Narasimhan Xingyu Lin Brian Okorn David Held OffRL LRM 30 13 0 13 Nov 2020
DIPN: Deep Interaction Prediction Network with Application to Clutter Removal Baichuan Huang Shuai D. Han Abdeslam Boularias Jingjin Yu AI4CE 21 61 0 09 Nov 2020
COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning Avi Singh Albert Yu Jonathan Yang Jesse Zhang Aviral Kumar Sergey Levine SSL OffRL OnRL 35 103 0 27 Oct 2020
Model-Based Inverse Reinforcement Learning from Visual Demonstrations Neha Das Sarah Bechtle Todor Davchev Dinesh Jayaraman Akshara Rai Franziska Meier 121 82 0 18 Oct 2020