机器人 / 具身智能 - arXivDaily 专题

1910.10628 2021-03-02 cs.RO cs.LG 62%

Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control

Jonathan Chang, Nishanth Kumar, Sean Hastings, Aaron Gokaslan, Diego Romeres, Devesh Jha, Daniel Nikovski, George Konidaris, Stefanie Tellex

专题命中机器人学习：robot policy(abstract)；分类 cs.RO、cs.LG

Comments Preprint

2102.12141 2021-02-25 cs.RO cs.AI 62%

Learning to Shift Attention for Motion Generation

You Zhou, Jianfeng Gao, Tamim Asfour

专题命中机器人学习：robot learning(abstract)；分类 cs.RO、cs.AI

2101.04736 2021-01-14 cs.RO cs.AI 62%

Bootstrapping Motor Skill Learning with Motion Planning

Ben Abbatematteo, Eric Rosen, Stefanie Tellex, George Konidaris

专题命中机器人学习：manipulation(abstract)；分类 cs.RO、cs.AI

2011.07785 2020-11-17 cs.RO cs.AI 62%

Autonomously Navigating a Surgical Tool Inside the Eye by Learning from Demonstration

Ji Woong Kim, Changyan He, Muller Urias, Peter Gehlbach, Gregory D. Hager, Iulian Iordachita, Marin Kobilarov

专题命中机器人学习：navigation(abstract)；分类 cs.RO、cs.AI

Comments Accepted to ICRA 2020

2007.11646 2020-07-24 cs.RO cs.LG 62%

Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks

Yifang Liu, Diego Romeres, Devesh K. Jha, Daniel Nikovski

专题命中机器人学习：robotic(abstract)；分类 cs.RO、cs.LG

Comments Published at a RSS20 workshop

1904.12907 2020-07-22 cs.RO cs.AI cs.CL 62%

Enabling Robots to Understand Incomplete Natural Language Instructions Using Commonsense Reasoning

Haonan Chen, Hao Tan, Alan Kuntz, Mohit Bansal, Ron Alterovitz

专题命中机器人学习：robot learning(abstract)；分类 cs.RO、cs.AI

Comments 7 pages, 4 figures, ICRA 2020

2007.09562 2020-07-21 cs.RO cs.LG cs.SY eess.SY 62%

Learning to Play Cup-and-Ball with Noisy Camera Observations

Monimoy Bujarbaruah, Tony Zheng, Akhil Shetty, Martin Sehr, Francesco Borrelli

专题命中机器人学习：robotics(abstract)；分类 cs.RO、cs.LG

Comments Final paper for IEEE CASE, Hong Kong, August, 2020. First three authors contributed equally

2007.05156 2020-07-13 cs.AI cs.RO 62%

A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning

Xuan Di, Rongye Shi

专题命中机器人学习：robotics(abstract)；分类 cs.RO、cs.AI

2006.12551 2020-06-25 cs.AI cs.RO 62%

PICO: Primitive Imitation for COntrol

Corban G. Rivera, Katie M. Popek, Chace Ashcraft, Edward W. Staley, Kapil D. Katyal, Bart L. Paulhamus

专题命中机器人学习：robotic(abstract)；分类 cs.RO、cs.AI

1907.11792 2020-05-19 cs.LG cs.RO stat.ML 62%

Maximum Causal Entropy Specification Inference from Demonstrations

Marcell Vazquez-Chanlatte, Sanjit A. Seshia

专题命中机器人学习：robotics(abstract)；分类 cs.RO、cs.LG

Comments Computer Aided Verification, 2020

1910.06315 2019-10-15 cs.CV cs.CL cs.LG 62%

Dynamic Attention Networks for Task Oriented Grounding

Soumik Dasgupta, Badri N. Patro, Vinay P. Namboodiri

专题命中机器人学习：robotic(abstract)；分类 cs.CV、cs.LG

Comments Accepted ICCV 2019 Workshop

1910.03157 2019-10-09 cs.RO cs.CV 62%

Model-based Behavioral Cloning with Future Image Similarity Learning

Alan Wu, AJ Piergiovanni, Michael S. Ryoo

专题命中机器人学习：robot learning(abstract)；分类 cs.RO、cs.CV

1908.01482 2019-08-06 cs.CV cs.AI 62%

Walking with MIND: Mental Imagery eNhanceD Embodied QA

Juncheng Li, Siliang Tang, Fei Wu, Yueting Zhuang

专题命中机器人学习：embodied agent(abstract)；分类 cs.AI、cs.CV

1907.13098 2019-07-31 cs.RO cs.LG 62%

Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks

Michelle A. Lee, Yuke Zhu, Peter Zachares, Matthew Tan, Krishnan Srinivasan, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg

专题命中机器人学习：manipulation(abstract)；分类 cs.RO、cs.LG

Comments arXiv admin note: substantial text overlap with arXiv:1810.10191

1903.05757 2019-03-15 cs.HC cs.AI cs.CV 62%

VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning

Xiaofeng Gao, Ran Gong, Tianmin Shu, Xu Xie, Shu Wang, Song-Chun Zhu

专题命中机器人学习：embodied agent(abstract)；分类 cs.AI、cs.CV

1903.05697 2019-03-15 cs.RO cs.LG 62%

Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks

Sanjay Thakur, Herke van Hoof, Juan Camilo Gamboa Higuera, Doina Precup, David Meger

专题命中机器人学习：robotic(abstract)；分类 cs.RO、cs.LG

Comments Copyright 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

1811.07550 2018-11-20 cs.CL cs.AI cs.LG cs.NE 62%

Switch-based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning

Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang

专题命中机器人学习：world model(abstract)；分类 cs.AI、cs.LG

Comments 8 pages, 9 figures, AAAI 2019

1802.04181 2018-10-30 cs.AI cs.LG stat.ML 62%

State Representation Learning for Control: An Overview

Timothée Lesort, Natalia Díaz-Rodríguez, Jean-François Goudou, David Filliat

专题命中机器人学习：robotics(abstract)；分类 cs.AI、cs.LG

1710.03875 2018-10-30 cs.LG cs.AI cs.LO 62%

Learning Task Specifications from Demonstrations

Marcell Vazquez-Chanlatte, Susmit Jha, Ashish Tiwari, Mark K. Ho, Sanjit A. Seshia

专题命中机器人学习：robotics(abstract)；分类 cs.AI、cs.LG

Comments NIPS 2018

1809.04993 2018-09-20 cs.RO cs.LG stat.ML 62%

Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze

Diego Romeres, Devesh Jha, Alberto Dalla Libera, William Yerazunis, Daniel Nikovski

专题命中机器人学习：robot learning(abstract)；分类 cs.RO、cs.LG

Comments 7 pages including the references, 5 figures. Changed title, improved the structure of the article and the images

1807.11174 2018-07-31 cs.AI cs.RO 62%

Active Object Perceiver: Recognition-guided Policy Learning for Object Searching on Mobile Robots

Xin Ye, Zhe Lin, Haoxiang Li, Shibin Zheng, Yezhou Yang

专题命中机器人学习：navigation(abstract)；分类 cs.RO、cs.AI

Comments 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018)

1801.06176 2018-05-24 cs.CL cs.AI cs.LG cs.NE 62%

Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning

Baolin Peng, Xiujun Li, Jianfeng Gao, Jingjing Liu, Kam-Fai Wong, Shang-Yu Su

专题命中机器人学习：world model(abstract)；分类 cs.AI、cs.LG

Comments 11 pages, 8 figures, Accepted in ACL 2018

1804.08617 2018-04-25 cs.LG cs.AI stat.ML 62%

Distributed Distributional Deterministic Policy Gradients

Gabriel Barth-Maron, Matthew W. Hoffman, David Budden, Will Dabney, Dan Horgan, Dhruva TB, Alistair Muldal, Nicolas Heess, Timothy Lillicrap

专题命中机器人学习：manipulation(abstract)；分类 cs.AI、cs.LG

1606.02485 2017-04-12 cs.RO cs.AI cs.HC 62%

Exploring Implicit Human Responses to Robot Mistakes in a Learning from Demonstration Task

Cory J. Hayes, Maryam Moosaei, Laurel D. Riek

专题命中机器人学习：robot learning(abstract)；分类 cs.RO、cs.AI

Comments 7 pages, 2 figures, IEEE RO-MAN 2016, IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2016)

2606.15239 2026-06-16 cs.RO cs.CY cs.HC 新提交 61%

Co-Creating Buildable and Open Social Robot Study Companions with University Students

与大学生共同创造可构建且开放的社会机器人学习伙伴

Farnaz Baksh, Matevž B. Zorec, Feiazie Baksh, Karl Kruusamäe

机构 * University of Tartu（塔尔图大学）； University of Guyana Robotics Club（圭亚那大学机器人俱乐部）

专题命中机器人学习：navigation(abstract)；分类 cs.RO；robotics(comments)

AI总结针对开源机器人构建门槛高的问题，采用双钻石框架与大学生共同设计机器人学习伴侣v4.1，通过扭锁、卡扣等可装配/拆卸设计，将系统可用性从差提升至优（SUS 59.4→89.4），并降低感知工作负荷。

Comments Accepted for 18th International Conference on Social Robotics (ICSR + ART 2026), London, UK | 1-4 July 2026

1705.09415 2026-06-04 cs.RO cs.SY eess.SY 61%

Near-Optimal Belief Space Planning via T-LQG

通过T-LQG实现接近最优的信念空间规划

Mohammadhussein Rafieisakhaei, Suman Chakravorty, P. R. Kumar

专题命中机器人学习：robotics(abstract,comments)；分类 cs.RO

AI总结本文提出T-LQG方法，用于非线性机器人系统在观测和运动不确定性下的规划问题，提供近优反馈控制策略，解决POMDP问题。

Comments 3 pages, 3 figures, In Robotics: Science and Systems (RSS) 2017 Workshop of "POMDPs in Robotics: State of The Art, Challenges, and Opportunities"

2605.26828 2026-05-27 cs.RO 61%

Learning Compositional Symbolic Task Rules from Demonstrations with Inductive Logic Programming

通过归纳逻辑编程从演示中学习组合符号任务规则

Oleh Borys, Karla Stepanova

机构 * Czech Institute of Informatics, Robotics and Cybernetics（捷克信息学、机器人学与自动控制研究所）

专题命中机器人学习：robotic(abstract)；分类 cs.RO；robotics(comments)

AI总结提出一种基于归纳逻辑编程的分解学习方法，从演示中学习可解释、可重用且支持强泛化的符号任务规则。

Comments In: ICRA 2026 Workshop on Semantics for Reliable Robot Autonomy: From Environment Understanding and Reasoning to Safe Interaction, Vienna, 2026 In: ICRA 2026, International Joint Workshop on Ontologies, Semantic Maps and Autonomous Robotics Standardization (J-WOSMARS 2026), Vienna, 2026

2502.03270 2025-11-17 cs.RO cs.AI cs.CV cs.LG 61%

The Temporal Trap: Entanglement in Pre-Trained Visual Representations for Visuomotor Policy Learning

Nikolaos Tsagkas, Andreas Sochopoulos, Duolikun Danier, Chris Xiaoxuan Lu, Oisin Mac Aodha

专题命中机器人学习：分类 cs.RO、cs.AI、cs.CV；robot learning(comments)

Comments This submission replaces our earlier work "When Pre-trained Visual Representations Fall Short: Limitations in Visuo-Motor Robot Learning." The original paper was split into two studies; this version focuses on temporal entanglement in pre-trained visual representations. The companion paper is "Attentive Feature Aggregation."

2411.18519 2024-11-28 cs.RO cs.MA 61%

A Talent-infused Policy-gradient Approach to Efficient Co-Design of Morphology and Task Allocation Behavior of Multi-Robot Systems

Prajit KrisshnaKumar, Steve Paul, Souma Chowdhury

专题命中机器人学习：robot policy(abstract)；分类 cs.RO；robotic(comments)

Comments Presented in proceedings of the International Symposium on Distributed Autonomous Robotic Systems (DARS) 2024

2312.11194 2024-07-09 cs.RO 61%

Aligning Human Intent from Imperfect Demonstrations with Confidence-based Inverse soft-Q Learning

Xizhou Bu, Wenjuan Li, Zhengxiong Liu, Zhiqiang Ma, Panfeng Huang

专题命中机器人学习：manipulation(abstract)；分类 cs.RO；robotics(journal_ref)

Comments Our code see https://github.com/XizoB/CIQL

Journal ref IEEE Robotics and Automation Letters, vol. 9, no. 8, pp. 7150 - 7157, Aug. 2024

1. 机器人学习 858 篇

Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control

Learning to Shift Attention for Motion Generation

Bootstrapping Motor Skill Learning with Motion Planning

Autonomously Navigating a Surgical Tool Inside the Eye by Learning from Demonstration

Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks

Enabling Robots to Understand Incomplete Natural Language Instructions Using Commonsense Reasoning

Learning to Play Cup-and-Ball with Noisy Camera Observations

A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning

PICO: Primitive Imitation for COntrol

Maximum Causal Entropy Specification Inference from Demonstrations

Dynamic Attention Networks for Task Oriented Grounding

Model-based Behavioral Cloning with Future Image Similarity Learning

Walking with MIND: Mental Imagery eNhanceD Embodied QA

Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks

VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning

Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks

Switch-based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning

State Representation Learning for Control: An Overview

Learning Task Specifications from Demonstrations

Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze

Active Object Perceiver: Recognition-guided Policy Learning for Object Searching on Mobile Robots

Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning

Distributed Distributional Deterministic Policy Gradients

Exploring Implicit Human Responses to Robot Mistakes in a Learning from Demonstration Task

Co-Creating Buildable and Open Social Robot Study Companions with University Students

Near-Optimal Belief Space Planning via T-LQG

Learning Compositional Symbolic Task Rules from Demonstrations with Inductive Logic Programming

The Temporal Trap: Entanglement in Pre-Trained Visual Representations for Visuomotor Policy Learning

A Talent-infused Policy-gradient Approach to Efficient Co-Design of Morphology and Task Allocation Behavior of Multi-Robot Systems

Aligning Human Intent from Imperfect Demonstrations with Confidence-based Inverse soft-Q Learning