机器人 / 具身智能 - arXivDaily 专题

2309.09752 2024-02-27 cs.LG 61%

Contrastive Initial State Buffer for Reinforcement Learning

Nico Messikommer, Yunlong Song, Davide Scaramuzza

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.LG；robotics(journal_ref)

Journal ref IEEE Conference on Robotics and Automation (ICRA 2024)

2402.13466 2024-02-22 cs.RO 61%

Leveraging Demonstrator-perceived Precision for Safe Interactive Imitation Learning of Clearance-limited Tasks

Hanbit Oh, Takamitsu Matsubara

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.RO；robotics(comments)

Comments 8 pages, 5 figures, accepted by IEEE Robotics and Automation Letters (RA-L) 2024

2402.03947 2024-02-07 cs.RO 61%

Reinforcement Learning for Collision-free Flight Exploiting Deep Collision Encoding

Mihir Kulkarni, Kostas Alexis

专题命中模仿学习与强化学习：navigation(abstract)；分类 cs.RO；robotics(comments)

Comments 8 pages, 8 figures. Accepted to the IEEE International Conference on Robotics and Automation (ICRA) 2024

2312.01498 2023-12-05 cs.RO 61%

Learning Neural Traffic Rules

Xuan Zhang, Xifeng Gao, Kui Wu, Zherong Pan

专题命中模仿学习与强化学习：navigation(abstract)；分类 cs.RO；robotic(comments)

Comments Preprint for IEEE Robotic and Automation Letters

2303.02581 2023-11-14 cs.RO 61%

From Rolling Over to Walking: Enabling Humanoid Robots to Develop Complex Motor Skills

Fanxing Meng, Jing Xiao

专题命中模仿学习与强化学习：robotics(abstract,comments)；分类 cs.RO

Comments 8 pages, 9 figures. Submitted to IEEE Robotics and Automation Letters. Video available at https://youtu.be/d0RqrW1EzjQ

2305.09606 2023-10-20 cs.RO 61%

Reward Learning with Intractable Normalizing Functions

Joshua Hoegerman, Dylan P. Losey

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.RO；robotics(journal_ref)

Journal ref IEEE Robotics and Automation Letters, vol. 8, no. 11, pp. 7511-7518, Nov. 2023

1907.03918 2023-09-27 cs.RO 61%

Towards Orientation Learning and Adaptation in Cartesian Space

Yanlong Huang, Fares J. Abu-Dakka, João Silvério, Darwin G. Caldwell

专题命中模仿学习与强化学习：robotics(abstract,comments)；分类 cs.RO

Comments Accepted for publication at IEEE Transactions on Robotics

2309.07729 2023-09-15 cs.RO 61%

Imitation Learning-based Visual Servoing for Tracking Moving Objects

Rocco Felici, Matteo Saveriano, Loris Roveda, Antonio Paolillo

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.RO；robotics(comments)

Comments International Workshop on Human-Friendly Robotics (HFR), 2023

2309.02722 2023-09-07 cs.RO 61%

Reinforcement Learning of Action and Query Policies with LTL Instructions under Uncertain Event Detector

Wataru Hatanaka, Ryota Yamashina, Takamitsu Matsubara

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.RO；robotics(comments)

Comments 8 pages, Accepted by Robotics and Automation Letters (RA-L)

2308.02150 2023-08-07 cs.RO 61%

Learning to Shape by Grinding: Cutting-surface-aware Model-based Reinforcement Learning

Takumi Hachimine, Jun Morimoto, Takamitsu Matsubara

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.RO；robotics(comments)

Comments 8 pages, Accepted by Robotics and Automation Letters

2306.07205 2023-06-13 cs.RO 61%

Maximising Coefficiency of Human-Robot Handovers through Reinforcement Learning

Marta Lagomarsino, Marta Lorenzini, Merryn Dale Constable, Elena De Momi, Cristina Becchio, Arash Ajoudani

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.RO；robotics(comments)

Comments 8 pages, 6 figures, IEEE Robotics and Automation Letters

2305.14154 2023-05-24 cs.RO math.OC 61%

Solving Stabilize-Avoid Optimal Control via Epigraph Form and Deep Reinforcement Learning

Oswin So, Chuchu Fan

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.RO；robotics(comments)

Comments Accepted to Robotics: Science and Systems 2023. Project page can be found at https://mit-realm.github.io/efppo

2305.08373 2023-05-16 cs.RO cs.SY eess.SY 61%

AcroMonk: A Minimalist Underactuated Brachiating Robot

Mahdi Javadi, Daniel Harnack, Paula Stocco, Shivesh Kumar, Shubham Vyas, Daniel Pizzutilo, Frank Kirchner

专题命中模仿学习与强化学习：robotics(abstract,journal_ref)；分类 cs.RO

Comments The open-source implementation is available at https://github.com/dfki-ric-underactuated-lab/acromonk and a video demonstration of the experiments can be accessed at https://youtu.be/FIcDNtJo9Jc}

Journal ref journal={IEEE Robotics and Automation Letters}, year={2023}, volume={8}, number={6}, pages={3637-3644}

2301.10528 2023-04-26 cs.RO 61%

An Incremental Inverse Reinforcement Learning Approach for Motion Planning with Separated Path and Velocity Preferences

Armin Avaei, Linda van der Spaa, Luka Peternel, Jens Kober

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.RO；robotics(journal_ref)

Comments 14 pages, 12 figures, 2 tables, associated video: https://youtu.be/hhL5-Lpzj4M

Journal ref Robotics, 12(2), 61 (2023)

2103.13623 2022-11-08 cs.RO 61%

Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies

Hanbit Oh, Hikaru Sasaki, Brendan Michael, Takamitsu Matsubara

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.RO；robotics(comments)

Comments 7 pages, Accepted by the 2021 International Conference on Robotics and Automation (ICRA 2021)

2202.00243 2022-07-28 cs.RO cs.AI cs.CV cs.LG cs.SY eess.SY 61%

Adversarial Imitation Learning from Video using a State Observer

Haresh Karnan, Garrett Warnell, Faraz Torabi, Peter Stone

专题命中模仿学习与强化学习：分类 cs.RO、cs.AI、cs.CV；robotics(journal_ref)

Journal ref International Conference on Robotics and Automation (ICRA) 2022

2206.12784 2022-06-28 cs.RO 61%

Learning to Rearrange with Physics-Inspired Risk Awareness

Meng Song, Yuhan Liu, Zhengqin Li, Manmohan Chandraker

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.RO；robotics(comments)

Comments Accepted to Risk Aware Decision Making Workshop at Robotics, Science and Systems 2022

2204.00898 2022-06-07 cs.RO 61%

Hierarchical Reinforcement Learning under Mixed Observability

Hai Nguyen, Zhihan Yang, Andrea Baisero, Xiao Ma, Robert Platt, Christopher Amato

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.RO；robotics(comments)

Comments Accepted at the 15th International Workshop on the Algorithmic Foundations of Robotics (WAFR) 2022, University of Maryland, College Park. The first two authors contributed equally

2011.06507 2021-11-08 cs.LG cs.AI cs.CV cs.RO 61%

Reinforcement Learning with Videos: Combining Offline Observations with Interaction

Karl Schmeckpeper, Oleh Rybkin, Kostas Daniilidis, Sergey Levine, Chelsea Finn

专题命中模仿学习与强化学习：分类 cs.RO、cs.AI、cs.CV；robot learning(journal_ref)

Journal ref Conference on Robot Learning (2020)

2102.04022 2021-10-20 cs.RO 61%

Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks

Luca Marzari, Ameya Pore, Diego Dall'Alba, Gerardo Aragon-Camarasa, Alessandro Farinelli, Paolo Fiorini

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.RO；robotics(comments)

Comments This work has been accepted to the IEEE International Conference on Advanced Robotics (ICAR) 2021

2106.00534 2021-06-02 cs.RO 61%

DeepWalk: Omnidirectional Bipedal Gait by Deep Reinforcement Learning

Diego Rodriguez, Sven Behnke

专题命中模仿学习与强化学习：robotics(abstract,comments)；分类 cs.RO

Comments In: Proceedings of the International Conference on Robotics and Automation (ICRA) 2021

2102.06838 2021-02-16 cs.RO 61%

Learning Variable Impedance Control via Inverse Reinforcement Learning for Force-Related Tasks

Xiang Zhang, Liting Sun, Zhian Kuang, Masayoshi Tomizuka

专题命中模仿学习与强化学习：manipulation(abstract)；分类 cs.RO；robotics(comments)

Comments Accepted by IEEE Robotics and Automation Letters. Feb 2020

2008.04460 2020-11-10 cs.RO 61%

Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning

Tianjian Chen, Zhanpeng He, Matei Ciocarlie

专题命中模仿学习与强化学习：robotics(abstract)；分类 cs.RO；robot learning(comments)

Comments Conference on Robot Learning (CoRL) 2020

1909.11730 2020-08-18 cs.RO cs.AI cs.CV cs.LG 61%

"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

Andrew Hundt, Benjamin Killeen, Nicholas Greene, Hongtao Wu, Heeyeon Kwon, Chris Paxton, Gregory D. Hager

专题命中模仿学习与强化学习：分类 cs.RO、cs.AI、cs.CV；robotics(comments)

Comments Accepted to the journal IEEE Robotics and Automation Letters (RA-L) and to be presented at IROS 2020. This is a minor update to v3. 8 pages, 6 figures, 3 tables, 1 algorithm. Code is available at https://github.com/jhu-lcsr/good_robot and a video overview is at https://youtu.be/MbCuEZadkIw

1810.00912 2018-10-03 cs.RO cs.AI cs.CV cs.LG 61%

Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition

Jianwei Yang, Jiasen Lu, Stefan Lee, Dhruv Batra, Devi Parikh

专题命中模仿学习与强化学习：分类 cs.RO、cs.AI、cs.CV；robot learning(comments)

Comments 18 pages, 10 figures, Oral Presentation in Conference on Robot Learning (CoRL) 2018

1806.07822 2018-09-20 cs.LG cs.AI cs.CV cs.RO stat.ML 61%

Learning Neural Parsers with Deterministic Differentiable Imitation Learning

Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling, Kris M. Kitani

专题命中模仿学习与强化学习：分类 cs.RO、cs.AI、cs.CV；robot learning(comments)

Comments Accepted to Conference on Robot Learning, CoRL 2018

1703.09327 2018-02-01 cs.LG 61%

DART: Noise Injection for Robust Imitation Learning

Michael Laskey, Jonathan Lee, Roy Fox, Anca Dragan, Ken Goldberg

专题命中模仿学习与强化学习：robot policy(abstract)；分类 cs.LG；robot learning(journal_ref)

Journal ref 1st Conference on Robot Learning (CoRL 2017)

1711.03938 2017-11-13 cs.LG cs.AI cs.CV cs.RO 61%

CARLA: An Open Urban Driving Simulator

Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, Vladlen Koltun

专题命中模仿学习与强化学习：分类 cs.RO、cs.AI、cs.CV；robot learning(comments)

Comments Published at the 1st Conference on Robot Learning (CoRL)

1709.04905 2017-09-15 cs.LG cs.AI cs.CV cs.RO 61%

One-Shot Visual Imitation Learning via Meta-Learning

Chelsea Finn, Tianhe Yu, Tianhao Zhang, Pieter Abbeel, Sergey Levine

专题命中模仿学习与强化学习：分类 cs.RO、cs.AI、cs.CV；robot learning(comments)

Comments Conference on Robot Learning, 2017 (to appear). First two authors contributed equally. Video available at https://sites.google.com/view/one-shot-imitation

1602.04875 2016-02-24 cs.AI 61%

POMDP-lite for Robust Robot Planning under Uncertainty

Min Chen, Emilio Frazzoli, David Hsu, Wee Sun Lee

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.AI；robotics(comments)

Comments In Proc. IEEE International Conference on Robotics & Automation (ICRA) 2016, with supplementary materials

1. 模仿学习与强化学习 4134 篇

Contrastive Initial State Buffer for Reinforcement Learning

Leveraging Demonstrator-perceived Precision for Safe Interactive Imitation Learning of Clearance-limited Tasks

Reinforcement Learning for Collision-free Flight Exploiting Deep Collision Encoding

Learning Neural Traffic Rules

From Rolling Over to Walking: Enabling Humanoid Robots to Develop Complex Motor Skills

Reward Learning with Intractable Normalizing Functions

Towards Orientation Learning and Adaptation in Cartesian Space

Imitation Learning-based Visual Servoing for Tracking Moving Objects

Reinforcement Learning of Action and Query Policies with LTL Instructions under Uncertain Event Detector

Learning to Shape by Grinding: Cutting-surface-aware Model-based Reinforcement Learning

Maximising Coefficiency of Human-Robot Handovers through Reinforcement Learning

Solving Stabilize-Avoid Optimal Control via Epigraph Form and Deep Reinforcement Learning

AcroMonk: A Minimalist Underactuated Brachiating Robot

An Incremental Inverse Reinforcement Learning Approach for Motion Planning with Separated Path and Velocity Preferences

Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies

Adversarial Imitation Learning from Video using a State Observer

Learning to Rearrange with Physics-Inspired Risk Awareness

Hierarchical Reinforcement Learning under Mixed Observability

Reinforcement Learning with Videos: Combining Offline Observations with Interaction

Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks

DeepWalk: Omnidirectional Bipedal Gait by Deep Reinforcement Learning

Learning Variable Impedance Control via Inverse Reinforcement Learning for Force-Related Tasks

Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning

"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition

Learning Neural Parsers with Deterministic Differentiable Imitation Learning

DART: Noise Injection for Robust Imitation Learning

CARLA: An Open Urban Driving Simulator

One-Shot Visual Imitation Learning via Meta-Learning

POMDP-lite for Robust Robot Planning under Uncertainty