Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration

10 July 2017

Rouhollah Rahmatizadeh

Papers citing "Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration"

50 / 58 papers shown

Title
STDArm: Transferring Visuomotor Policies From Static Data Training to Dynamic Robot Manipulation YiFan Duan Heng Li Yilong Wu Wenhao Yu Xinran Zhang Yedong Shen Jianmin Ji Yanzhe Zhang 52 0 0 26 Apr 2025
Latent Representations for Visual Proprioception in Inexpensive Robots Sahara Sheikholeslami Ladislau Bölöni 51 0 0 20 Apr 2025
IMLE Policy: Fast and Sample Efficient Visuomotor Policy Learning via Implicit Maximum Likelihood Estimation Krishan Rana Robert Lee David Pershouse Niko Suenderhauf VGen 73 0 0 17 Feb 2025
Inductive Learning of Robot Task Knowledge from Raw Data and Online Expert Feedback Daniele Meli Paolo Fiorini 50 0 0 13 Jan 2025
Tra-MoE: Learning Trajectory Prediction Model from Multiple Domains for Adaptive Policy Conditioning Jiange Yang Haoyi Zhu Yanjie Wang Gangshan Wu Tong He Limin Wang 113 2 0 21 Nov 2024
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress Christopher Agia Rohan Sinha Jingyun Yang Zi-ang Cao Rika Antonova Marco Pavone Jeannette Bohg 49 7 0 06 Oct 2024
Haptic-ACT: Bridging Human Intuition with Compliant Robotic Manipulation via Immersive VR Kelin Li Shubham M. Wagh Nitish Sharma Saksham Bhadani Wei Chen Chang Liu Petar Kormushev 39 2 0 18 Sep 2024
Precise Pick-and-Place using Score-Based Diffusion Networks Shih-Wei Guo Tsu-Ching Hsiao Yu-Lun Liu Chun-Yi Lee DiffM 44 1 0 15 Sep 2024
PECAN: Personalizing Robot Behaviors through a Learned Canonical Space Heramb Nemlekar Robert Ramirez Sanchez Dylan P. Losey 39 3 0 22 Jul 2024
DNAct: Diffusion Guided Multi-Task 3D Policy Learning Ge Yan Yueh-hua Wu Xiaolong Wang VGen 50 20 0 07 Mar 2024
Imitation Learning Inputting Image Feature to Each Layer of Neural Network Koki Yamane S. Sakaino T. Tsuji 40 3 0 18 Jan 2024
Semi-supervised Active Learning for Video Action Detection Aayush Singh A. J. Rana Akash Kumar Shruti Vyas Yogesh S Rawat 62 7 0 12 Dec 2023
Generalizable Imitation Learning Through Pre-Trained Representations Wei-Di Chang F. Hogan David Meger Gregory Dudek Gregory Dudek 46 1 0 15 Nov 2023
CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning Liyiming Ke Yunchu Zhang Abhay Deshpande S. Srinivasa Abhishek Gupta OffRL 32 12 0 19 Oct 2023
RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot Haoshu Fang Hongjie Fang Zhenyu Tang Jirong Liu Chenxi Wang Junbo Wang Haoyi Zhu Cewu Lu 54 63 0 02 Jul 2023
Transferring Foundation Models for Generalizable Robotic Manipulation Jiange Yang Wenhui Tan Chuhao Jin Keling Yao Bei Liu Jianlong Fu Ruihua Song Gangshan Wu Limin Wang LM&Ro 62 6 0 09 Jun 2023
Computational Design of Passive Grippers Milin Kodnongbua Ian Good J. I. Lipton Adriana Schulz 41 11 0 05 Jun 2023
Chain-of-Thought Predictive Control Zhiwei Jia Vineet Thumuluri Fangchen Liu Ling-Hao Chen Zhiao Huang H. Su LM&Ro 57 20 0 03 Apr 2023
Data-Driven Stochastic Motion Evaluation and Optimization with Image by Spatially-Aligned Temporal Encoding Takeru Oba Norimichi Ukita 28 3 0 10 Feb 2023
Modularity through Attention: Efficient Training and Transfer of Language-Conditioned Policies for Robot Manipulation Yifan Zhou Shubham D. Sonawani Mariano Phielipp Simon Stepputtis H. B. Amor LM&Ro 38 27 0 08 Dec 2022
User-Conditioned Neural Control Policies for Mobile Robotics L. Bauersfeld Elia Kaufmann Davide Scaramuzza 39 6 0 22 Nov 2022
From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data Zichen Jeff Cui Yibin Wang Nur Muhammad (Mahi) Shafiullah Lerrel Pinto LM&Ro VGen OffRL 37 90 0 18 Oct 2022
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale Kuang-Huei Lee Ted Xiao A. Li Paul Wohlhart Ian S. Fischer Yao Lu 66 10 0 15 Oct 2022
Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization Stone Tao Xiaochen Li Tongzhou Mu Zhiao Huang Yuzhe Qin Hao Su 29 3 0 14 Oct 2022
Augmentation for Learning From Demonstration with Environmental Constraints Xing Li Manuel Baum Oliver Brock 38 0 0 13 Oct 2022
Interactive Language: Talking to Robots in Real Time Corey Lynch Ayzaan Wahid Jonathan Tompson Tianli Ding James Betker Robert Baruch Travis Armstrong Peter R. Florence LM&Ro 46 217 0 12 Oct 2022
Multi-Fingered In-Hand Manipulation with Various Object Properties Using Graph Convolutional Networks and Distributed Tactile Sensors Satoshi Funabashi Tomoki Isobe Hongyi Fei Atsumu Hiramoto A. Schmitz S. Sugano Tetsuya Ogata 34 30 0 09 May 2022
What Matters in Language Conditioned Robotic Imitation Learning over Unstructured Data Oier Mees Lukás Hermann Wolfram Burgard LM&Ro 43 149 0 13 Apr 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 79 525 0 04 Feb 2022
Practical Imitation Learning in the Real World via Task Consistency Loss Mohi Khansari Daniel Ho Yuqing Du Armando Fuentes Matthew Bennice Nicolas Sievers Sean Kirmani Yunfei Bai Eric Jang SSL 24 8 0 03 Feb 2022
Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction Yikai Wang Gang Hua Wenbing Huang Fengxiang He Dacheng Tao 70 29 0 04 Dec 2021
Learning Multi-Stage Tasks with One Demonstration via Self-Replay Norman Di Palo Edward Johns SSL 37 23 0 14 Nov 2021
Implicit Behavioral Cloning Peter R. Florence Corey Lynch Andy Zeng Oscar Ramirez Ayzaan Wahid Laura Downs Adrian S. Wong Johnny Lee Igor Mordatch Jonathan Tompson OffRL 77 373 0 01 Sep 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 52 274 0 16 Apr 2021
Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning Georgios Th. Papadopoulos M. Antona C. Stephanidis AI4CE 36 25 0 15 Dec 2020
Semi-supervised reward learning for offline reinforcement learning Ksenia Konyushkova Konrad Zolna Y. Aytar Alexander Novikov Scott E. Reed Serkan Cabi Nando de Freitas SSL OffRL 81 23 0 12 Dec 2020
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer Zohreh Raziei Mohsen Moghaddam 38 25 0 27 Nov 2020
Reinforcement Learning with Videos: Combining Offline Observations with Interaction Karl Schmeckpeper Oleh Rybkin Kostas Daniilidis Sergey Levine Chelsea Finn OffRL 38 105 0 12 Nov 2020
Motion Generation Using Bilateral Control-Based Imitation Learning with Autoregressive Learning Ayumu Sasagawa S. Sakaino T. Tsuji 19 24 0 12 Nov 2020
Learning from Sparse Demonstrations Wanxin Jin Todd Murphey Dana Kulić Neta Ezer Shaoshuai Mou 24 36 0 05 Aug 2020
Towards Deep Robot Learning with Optimizer applicable to Non-stationary Problems Taisuke Kobayashi ODL 30 9 0 31 Jul 2020
Language Conditioned Imitation Learning over Unstructured Data Corey Lynch P. Sermanet LM&Ro 51 244 0 15 May 2020
Scalable Multi-Task Imitation Learning with Autonomous Improvement Avi Singh Eric Jang A. Irpan Daniel Kappler Murtaza Dalal Sergey Levine Mohi Khansari Chelsea Finn 53 35 0 25 Feb 2020
Task-Relevant Adversarial Imitation Learning Konrad Zolna Scott E. Reed Alexander Novikov Sergio Gomez Colmenarejo David Budden Serkan Cabi Misha Denil Nando de Freitas Ziyun Wang GAN 33 61 0 02 Oct 2019
Scaling data-driven robotics with reward sketching and batch reinforcement learning Serkan Cabi Sergio Gomez Colmenarejo Alexander Novikov Ksenia Konyushkova Scott E. Reed ... David Barker Jonathan Scholz Misha Denil Nando de Freitas Ziyun Wang OffRL 33 29 0 26 Sep 2019
Self-Supervised Correspondence in Visuomotor Policy Learning Peter R. Florence Lucas Manuelli Russ Tedrake SSL 31 161 0 16 Sep 2019
Learning a Multi-Modal Policy via Imitating Demonstrations with Mixed Behaviors Fang-I Hsiao Jui-Hsuan Kuo Min Sun OffRL 21 14 0 25 Mar 2019
Learning Latent Plans from Play Corey Lynch Mohi Khansari Ted Xiao Vikash Kumar Jonathan Tompson Sergey Levine P. Sermanet SSL LM&Ro 45 393 0 05 Mar 2019
Designing a Multi-Objective Reward Function for Creating Teams of Robotic Bodyguards Using Deep Reinforcement Learning Hassam Sheikh Ladislau Bölöni 20 3 0 28 Jan 2019
Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies Alexander Sax Bradley Emi Amir Zamir Leonidas Guibas Silvio Savarese Jitendra Malik SSL 49 16 0 31 Dec 2018