arXivDaily arXiv每日学术速递 周一至周五更新

视觉与机器人

机器人 / 具身智能

机器人、具身智能、机器人学习、操作、导航和具身世界模型。

共收录 60856 信号源:cs.RO, cs.AI, cs.CV, cs.LG

1. 机器人学习 858 篇

2606.26265 2026-06-26 cs.RO 新提交 86%

NavIsaacLab: Generating Realistic Crowd via Parallel Robot Learning for Benchmarking Human-aware Navigation

NavIsaacLab: 通过并行机器人学习生成逼真人群以基准测试人感知导航

Bingyi Xia, Han Bao, Jingyu Zhu, Hanjing Ye, Yuhan Pang, Guangcheng Chen, Liang Lin, Wenjun Xu, Jiankun Wang

机构 * Southern University of Science and Technology(南方科技大学) National University of Singapore(新加坡国立大学) Peng Cheng Laboratory(鹏城实验室) Jiaxing Research Institute, Southern University of Science and Technology(南方科技大学嘉兴研究院)

专题命中 机器人学习 :navigation(title,abstract);robot learning(title);分类 cs.RO

AI总结 提出NavIsaacLab框架,利用基于物理和照片级真实感的仿真,结合轨迹扩散模型和对抗运动学习控制器生成逼真人群,用于训练和评估人感知导航策略。

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2506.20376 2025-06-26 cs.RO 86%

Enhanced Robotic Navigation in Deformable Environments using Learning from Demonstration and Dynamic Modulation

Lingyun Chen, Xinrui Zhao, Marcos P. S. Campanha, Alexander Wegener, Abdeldjallil Naceri, Abdalla Swikir, Sami Haddadin

机构 * Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich (TUM), Germany(慕尼黑机器人与机器智能研究所(MIRMI),慕尼黑技术大学(TUM)) Mohamed Bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE(穆罕默德·本·扎耶德人工智能大学)

专题命中 机器人学习 :navigation(title,abstract);robotic(title);分类 cs.RO

Comments Accepted to IROS 2025

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2607.23784 2026-07-28 cs.RO cs.AI 新提交 86%

A Few Words Go a Long Way: Language Guided Robot Policy Synthesis

寥寥数语,成效显著:语言引导的机器人策略合成

Daphne Chen, Archit Ritesh Jain, Eric Goossen, Emma Romig, Michael Murray, Nick Walker, Maya Cakmak

机构 * University of Washington(华盛顿大学) Microsoft Research(微软研究院) Massachusetts Institute of Technology(麻省理工学院)

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

AI总结 研究针对视觉-语言-动作模型难以解释等问题,提出ARCHITECT框架,利用大语言模型编码代理合成模块化机器人程序,通过人类自然语言修正引导策略并积累技能库,在机器人基准评估中表现出色,提供了新的机器人学习方案。

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2607.12892 2026-07-15 cs.RO cs.AI 新提交 86%

UR-VC: Unsupervised Robotic Value Correction for Time-Derived Progress Proxies

UR-VC:用于时间衍生进度代理的无监督机器人价值校正

Lirui Zhao, Modi Shi, Li Chen, Qi Liu, Ping Luo, Hongyang Li

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

AI总结 研究针对机器人学习中时间衍生进度标签不准确问题,提出无监督机器人价值校正方法UR-VC,利用演示数据中相似状态不同时出现的规律校正标签,在真实双手布料操作任务中取得积极效果,还能用于构建优势标签。

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2606.02027 2026-06-02 cs.RO cs.LG cs.MA 86%

World-Task Factorization for Robot Learning

世界-任务分解用于机器人学习

Eduardo Sebastián, Adrian Pfisterer, Vito Mengers, Oliver Brock, Amanda Prorok

机构 * Department of Computer Science and Technology, University of Cambridge, United Kingdom(计算机科学与技术系,剑桥大学,英国) Robotics and Biology Laboratory, Technische Universität Berlin(机器人与生物学实验室,柏林技术大学) Science of Intelligence (SCIoI), Cluster of Excellence, Berlin, Germany(智能科学(SCIoI),卓越中心,柏林,德国) Robotics Institute Germany(德国机器人研究所)

专题命中 机器人学习 :robot learning(title,abstract);robotics(abstract);world model(abstract);分类 cs.RO、cs.LG

AI总结 提出将策略分解为世界因子和任务因子,通过可微图模型AICON与紧凑学习策略结合,实现零样本泛化到新配置并迁移到真实硬件。

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2510.10642 2026-05-14 cs.RO cs.AI 86%

UniJEPA: Enhancing Robot Policy via Unified Continuous and Discrete Representation Learning

UniJEPA:通过统一的连续和离散表示学习增强机器人策略

Jianke Zhang, Yucheng Hu, Yanjiang Guo, Xiaoyu Chen, Yichen Liu, Wenna Chen, Chaochao Lu, Jianyu Chen

机构 * Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China.(清华大学交叉信息研究院) Shanghai Qi Zhi Institute, Shanghai, China(上海启智研究院) Peking University, Beijing, China(北京大学) Shanghai AI Lab, Shanghai, China(上海人工智能实验室)

专题命中 机器人学习 :robot policy(title);robotics(abstract);manipulation(abstract);robotic(abstract)

AI总结 本文提出UniJEPA,通过大规模预训练学习高维视觉特征,结合理解、规划和连续未来表示学习,提升机器人在开放环境中的任务执行能力。

Journal ref ICML 2026

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2604.26637 2026-04-30 cs.RO cs.AI 86%

ATLAS: An Annotation Tool for Long-horizon Robotic Action Segmentation

ATLAS:一种用于长时程机器人动作分割的标注工具

Sergej Stanovcic, Daniel Sliwowski, Dongheui Lee

机构 * Autonomous Systems Lab, Technische Universität Wien (TU Wien)(自主系统实验室,维也纳技术大学) Institute of Robotics and Mechatronics, German Aerospace Center (DLR)(机器人与机电研究所,德国航空航天中心)

专题命中 机器人学习 :robotic(title,abstract);robotics(abstract);manipulation(abstract);分类 cs.RO、cs.AI

AI总结 本文提出ATLAS,一种专为长时程机器人动作分割设计的标注工具,支持多模态数据同步可视化和多种数据集格式,提升了标注效率和时间对齐精度。

Comments 7 pages, 2 figures, 2 tables

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2512.00074 2026-03-11 cs.RO cs.CV 86%

Bootstrap Dynamic-Aware 3D Visual Representation for Scalable Robot Learning

基于 Bootstrap 的动态感知 3D 视觉表示用于可扩展的机器人学习

Qiwei Liang, Boyang Cai, Minghao Lai, Sitong Zhuang, Tao Lin, Yan Qin, Yixuan Ye, Jiaming Liang, Renjing Xu

机构 * Hong Kong University of Science and Technology (Guangzhou)(香港科技大学(广州)) Shenzhen University(深圳大学) Beijing Jiaotong University(北京交通大学) Central South University(中南大学)

专题命中 机器人学习 :robot learning(title);robotics(abstract);manipulation(abstract);robotic(abstract)

AI总结 AFRO通过动态感知的3D表示提升机器人操作性能,结合扩散策略实现高效预训练。

Comments Project Page: https://kolakivy.github.io/AFRO/, accepted by CVPR 2026

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2511.04831 2025-11-10 cs.RO cs.AI 86%

Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning

NVIDIA, :, Mayank Mittal, Pascal Roth, James Tigue, Antoine Richard, Octi Zhang, Peter Du, Antonio Serrano-Muñoz, Xinjie Yao, René Zurbrügg, Nikita Rudin, Lukasz Wawrzyniak, Milad Rakhsha, Alain Denzler, Eric Heiden, Ales Borovicka, Ossama Ahmed, Iretiayo Akinola, Abrar Anwar, Mark T. Carlson, Ji Yuan Feng, Animesh Garg, Renato Gasoto, Lionel Gulich, Yijie Guo, M. Gussert, Alex Hansen, Mihir Kulkarni, Chenran Li, Wei Liu, Viktor Makoviychuk, Grzegorz Malczyk, Hammad Mazhar, Masoud Moghani, Adithyavairavan Murali, Michael Noseworthy, Alexander Poddubny, Nathan Ratliff, Welf Rehberg, Clemens Schwarke, Ritvik Singh, James Latham Smith, Bingjie Tang, Ruchik Thaker, Matthew Trepte, Karl Van Wyk, Fangzhou Yu, Alex Millane, Vikram Ramasamy, Remo Steiner, Sangeeta Subramanian, Clemens Volk, CY Chen, Neel Jawale, Ashwin Varghese Kuruttukulam, Michael A. Lin, Ajay Mandlekar, Karsten Patzwaldt, John Welsh, Huihua Zhao, Fatima Anes, Jean-Francois Lafleche, Nicolas Moënne-Loccoz, Soowan Park, Rob Stepinski, Dirk Van Gelder, Chris Amevor, Jan Carius, Jumyung Chang, Anka He Chen, Pablo de Heras Ciechomski, Gilles Daviet, Mohammad Mohajerani, Julia von Muralt, Viktor Reutskyy, Michael Sauter, Simon Schirm, Eric L. Shi, Pierre Terdiman, Kenny Vilella, Tobias Widmer, Gordon Yeoman, Tiffany Chen, Sergey Grizan, Cathy Li, Lotus Li, Connor Smith, Rafael Wiltz, Kostas Alexis, Yan Chang, David Chu, Linxi "Jim" Fan, Farbod Farshidian, Ankur Handa, Spencer Huang, Marco Hutter, Yashraj Narang, Soha Pouya, Shiwei Sheng, Yuke Zhu, Miles Macklin, Adam Moravanszky, Philipp Reist, Yunrong Guo, David Hoeller, Gavriel State

机构 * NVIDIA

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

Comments Code and documentation are available here: https://github.com/isaac-sim/IsaacLab

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2504.06538 2025-07-30 cs.RO cs.AI 86%

OPAL: Encoding Causal Understanding of Physical Systems for Robot Learning

Daniel Tcheurekdjian, Joshua Klasmeier, Tom Cooney, Christopher McCann, Tyler Fenstermaker

专题命中 机器人学习 :robot learning(title);robotics(abstract);manipulation(abstract);robotic(abstract)

Comments We withdraw our submission following peer review feedback that identified methodological limitations: specifically, our experimental design does not adequately support the causal claims made in the submission. The work was preliminary undergraduate research that requires substantial additional experimental validation to properly establish the proposed causal relationships

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2505.20290 2025-06-05 cs.RO cs.AI 86%

EgoZero: Robot Learning from Smart Glasses

Vincent Liu, Ademi Adeniji, Haotian Zhan, Siddhant Haldar, Raunaq Bhirangi, Pieter Abbeel, Lerrel Pinto

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

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2503.09829 2025-04-25 cs.RO cs.LG cs.SY eess.SY 86%

SE(3)-Equivariant Robot Learning and Control: A Tutorial Survey

Joohwan Seo, Soochul Yoo, Junwoo Chang, Hyunseok An, Hyunwoo Ryu, Soomi Lee, Arvind Kruthiventy, Jongeun Choi, Roberto Horowitz

专题命中 机器人学习 :robot learning(title);robotics(abstract);manipulation(abstract);robotic(abstract)

Comments Accepted to International Journcal of Control, Automation and Systems (IJCAS)

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2407.04328 2024-07-08 cs.RO cs.LG cs.SY eess.SY 86%

EAGERx: Graph-Based Framework for Sim2real Robot Learning

Bas van der Heijden, Jelle Luijkx, Laura Ferranti, Jens Kober, Robert Babuska

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

Comments For an introductory video, see http://www.youtube.com/watch?v=D0CQNnTT010 . The documentation, tutorials, and our open-source code can be found at http://eagerx.readthedocs.io

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2604.25459 2026-08-05 cs.RO 版本更新 86%

GS-Playground: A High-Throughput Photorealistic Simulator for Vision-Informed Robot Learning

GS-Playground:一种高吞吐量的视觉真实模拟器用于基于视觉的机器人学习

Yufei Jia, Heng Zhang, Ziheng Zhang, Junzhe Wu, Mingrui Yu, Zifan Wang, Dixuan Jiang, Zheng Li, Chenyu Cao, Zhuoyuan Yu, Xun Yang, Haizhou Ge, Yuchi Zhang, Jiayuan Zhang, Zhenbiao Huang, Tianle Liu, Shenyu Chen, Jiacheng Wang, Bin Xie, Xuran Yao, Xiwa Deng, Guangyu Wang, Jinzhi Zhang, Lei Hao, Zhixing Chen, Yuxiang Chen, Anqi Wang, Hongyun Tian, Yiyi Yan, Zhanxiang Cao, Yizhou Jiang, Hanyang Shao, Yue Li, Lu Shi, Bokui Chen, Wei Sui, Hanqing Cui, Yusen Qin, Ruqi Huang, Lei Han, Tiancai Wang, Guyue Zhou

机构 * THU(清华大学) Motphys Dexmal DISCOVER Robotics HKUST(GZ)(香港科技大学(广州)) BIT(北京理工大学) NUS(新加坡国立大学) HITSZ(哈尔滨工业大学) XJTU(西安交通大学) NJU(南京大学) SJTU(上海交通大学) D-Robotics

专题命中 机器人学习 :robot learning(title);embodied AI(abstract);manipulation(abstract);navigation(abstract)

AI总结 GS-Playground通过高吞吐量的多模态模拟框架,结合高效物理引擎和3DGS渲染管道,提升视觉强化学习的效率,降低大规模视觉RL的门槛,实现感知与物理的无缝衔接。

Comments Robotics: Science and Systems 2026

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2503.05887 2025-04-01 cs.RO 86%

MatchMaker: Automated Asset Generation for Robotic Assembly

Yian Wang, Bingjie Tang, Chuang Gan, Dieter Fox, Kaichun Mo, Yashraj Narang, Iretiayo Akinola

专题命中 机器人学习 :robotic(title,abstract);robot learning(abstract);manipulation(abstract);分类 cs.RO

Comments Accepted to International Conference on Robotics and Automation (ICRA) 2025

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2203.01983 2022-03-07 cs.RO 86%

Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning

Aditya Ganapathi, Pete Florence, Jake Varley, Kaylee Burns, Ken Goldberg, Andy Zeng

专题命中 机器人学习 :robot learning(title,abstract);manipulation(abstract);robotic(abstract);分类 cs.RO

Comments International Conference on Robotics and Automation (ICRA) 2022

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2111.14693 2022-03-03 cs.RO cs.AI cs.CV cs.LG 86%

SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning

Jun Lv, Qiaojun Yu, Lin Shao, Wenhai Liu, Wenqiang Xu, Cewu Lu

专题命中 机器人学习 :robot learning(title,abstract);manipulation(abstract);分类 cs.RO、cs.AI、cs.CV;robotics(comments)

Comments Accepted to IEEE International Conference on Robotics and Automation (ICRA) 2022

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1910.00682 2020-08-12 cs.RO 86%

Accelerated Robot Learning via Human Brain Signals

Iretiayo Akinola, Zizhao Wang, Junyao Shi, Xiaomin He, Pawan Lapborisuth, Jingxi Xu, David Watkins-Valls, Paul Sajda, Peter Allen

专题命中 机器人学习 :robot learning(title,abstract);navigation(abstract);robotic(abstract);分类 cs.RO

Comments 2020 IEEE International Conference on Robotics and Automation - ICRA 2020

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2607.10706 2026-07-14 cs.RO cs.AI cs.CV cs.LG 新提交 85%

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification

动作映射策略:通过像素分类学习3D闭环操作

Haojie Huang, Zhang Ye, Linfeng Zhao, Boce Hu, Mingxi Jia, Yu Qi, Ahmed Agha, Dian Wang, Robert Platt, Robin Walters

机构 * Northeastern University(东北大学) Stanford University(斯坦福大学) Brown University(布朗大学)

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

AI总结 研究针对机器人学习中动作空间的挑战,提出动作映射策略(AMP),将3D闭环操作策略学习转为图像空间分类问题,通过投影动作到图像平面,以像素为类别控制维度,实现高精度、快速推理,实验证明其优于基线。

Comments Project Website: https://haojhuang.github.io/amp_page/

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2607.06558 2026-07-14 cs.RO 版本更新 85%

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation

RynnWorld-Teleop:用于数字遥操作的动作条件世界模型

Haoyu Zhao, Xingyue Zhao, Hangyu Li, Biao Gong, Kehan Li, Siteng Huang, Xin Li, Deli Zhao, Zhongyu Li

机构 * DAMO Academy, Alibaba Group(达摩院,阿里巴巴集团) Hong Kong Embodied AI Lab(香港具身人工智能实验室) CUHK(香港中文大学) Hupan Lab(湖畔实验室) Alibaba Group(阿里巴巴集团) Ant Group(蚂蚁集团)

专题命中 机器人学习 :world model(title,abstract);robot learning(abstract);robotic(abstract);分类 cs.RO

AI总结 研究针对机器人学习数据收集瓶颈,提出数字遥操作范式,用生成世界模型解耦数据收集与物理约束。以RynnWorld-Teleop系统实现,含多种技术,能实时生成,训练策略可零样本转移,还能增强数据集,是高保真可扩展数据引擎。

Comments Project Page: https://alibaba-damo-academy.github.io/RynnWorld-Teleop.github.io, Github: https://github.com/alibaba-damo-academy/RynnWorld-Teleop

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2606.06895 2026-06-09 cs.CR cs.AI cs.CY cs.ET 交叉投稿 85%

Blockchain Infrastructure for Intelligent Cyber--Physical--Social Systems:Post-Quantum Security, Interoperability, and Trustworthy Data Economies in the Era of Embodied AI

面向智能信息-物理-社会系统的区块链基础设施:具身AI时代的后量子安全、互操作性与可信数据经济

Song Guo, Huawei Huang, Dongping Liu, Aoyu Zhang, Luyao Zhang

机构 * Hong Kong University of Science and Technology(香港理工大学) Sun Yat-sen University(中山大学) Amazon Web Services(亚马逊网络服务) Duke Kunshan University(杜克昆山大学)

专题命中 机器人学习 :embodied AI(title,abstract);robotics(abstract);robotic(abstract);分类 cs.AI

AI总结 本教程探讨区块链作为协调层,融合后量子密码学与具身AI,实现可扩展、可信的数据经济与跨组织治理。

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2605.07079 2026-05-11 cs.CV cs.AI cs.LG cs.RO 85%

Learning Visual Feature-Based World Models via Residual Latent Action

通过残差潜在动作学习基于视觉特征的世界模型

Xinyu Zhang, Zhengtong Xu, Yutian Tao, Yeping Wang, Yu She, Abdeslam Boularias

机构 * Rutgers University(罗格斯大学) Purdue University(普渡大学) University of Wisconsin-Madison(威斯康星大学麦迪逊分校)

专题命中 机器人学习 :world model(title,abstract);robot learning(abstract);分类 cs.RO、cs.AI、cs.CV

AI总结 本文提出RLA-WM世界模型,通过流匹配预测残差潜在动作,优于现有特征和视频扩散模型,且在速度和效率上更优,同时开发了两项机器人学习技术。

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2510.03599 2026-05-05 cs.RO 85%

Learning to Act Through Contact: A Unified View of Multi-Task Robot Learning

通过接触学习行动:多任务机器人学习的统一视角

Shafeef Omar, Majid Khadiv

机构 * Munich Institute of Robotics and Machine Intelligence, Germany(德国慕尼黑机器人与机器智能研究所) Technical University of Munich, Germany(德国慕尼黑技术大学)

专题命中 机器人学习 :robot learning(title);manipulation(abstract,abstract_cn);robotic(abstract);分类 cs.RO

AI总结 本文提出基于接触显式表示的多任务运动与操作策略学习框架,通过接触目标序列统一定义任务,实现单一策略执行多种任务,提升泛化能力。

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2512.01773 2026-04-16 cs.RO 85%

IGen: Scalable Data Generation for Robot Learning from Open-World Images

IGen: 为机器人学习从开放世界图像中实现可扩展的数据生成

Chenghao Gu, Haolan Kang, Junchao Lin, Jinghe Wang, Duo Wu, Shuzhao Xie, Fanding Huang, Junchen Ge, Ziyang Gong, Letian Li, Hongying Zheng, Changwei Lv, Zhi Wang

机构 * Shenzhen International Graduate School, Tsinghua University(清华大学深圳国际研究生院) The University of Hong Kong(香港大学) Beijing University of Chemical Technology(北京化工大学) Shanghai Jiao Tong University(上海交通大学) Shenzhen University of Infomation Technology(深圳信息大学)

专题命中 机器人学习 :robot learning(title,abstract);manipulation(abstract);robotic(abstract);分类 cs.RO

AI总结 本文提出IGen框架,通过开放世界图像生成高质量的视觉-运动数据,验证了其在机器人学习中的有效性。

Comments 8 pages, 8 figures; Accepted to CVPR 2026

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026

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2603.09298 2026-03-11 cs.RO 85%

CORAL: Scalable Multi-Task Robot Learning via LoRA Experts

CORAL:通过LoRA专家实现可扩展的多任务机器人学习

Yuankai Luo, Woping Chen, Tong Liang, Zhenguo Li

机构 * Frontier Robotics(前沿机器人)

专题命中 机器人学习 :robot learning(title,abstract);robotics(abstract);robotic(abstract);分类 cs.RO

AI总结 CORAL通过LoRA专家实现多任务机器人学习,解决任务干扰问题,提升学习效率与扩展性。

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2512.18068 2025-12-23 cs.RO 85%

SurgiPose: Estimating Surgical Tool Kinematics from Monocular Video for Surgical Robot Learning

SurgiPose:从单目视频估计手术工具运动学以实现手术机器人学习

Juo-Tung Chen, XinHao Chen, Ji Woong Kim, Paul Maria Scheikl, Richard Jaepyeong Cha, Axel Krieger

机构 * Dept. of Mechanical Engineering, Johns Hopkins University(机械工程系,约翰霍普金斯大学) Optosurgical

专题命中 机器人学习 :robot learning(title,abstract);manipulation(abstract);robotic(abstract);分类 cs.RO

AI总结 SurgiPose通过单目视频估计手术工具运动学,为手术机器人学习提供可行的解决方案,验证了无需真实运动学数据即可训练有效策略的可行性。

Comments 8 pages, 6 figures, 2 tables

Journal ref Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025, pp. 20912-20919

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2506.04227 2025-06-05 cs.RO cs.AI cs.CV cs.LG cs.SY eess.SY 85%

Object-centric 3D Motion Field for Robot Learning from Human Videos

Zhao-Heng Yin, Sherry Yang, Pieter Abbeel

机构 * BAIR, UC Berkeley EECS(伯克利大学电子工程与计算机科学系) Google DeepMind(谷歌DeepMind)

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

Comments Project: https://zhaohengyin.github.io/3DMF

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2503.15895 2025-03-21 cs.RO 85%

CONTHER: Human-Like Contextual Robot Learning via Hindsight Experience Replay and Transformers without Expert Demonstrations

Maria Makarova, Qian Liu, Dzmitry Tsetserukou

专题命中 机器人学习 :robot learning(title);robotics(abstract);manipulation(abstract);robotic(abstract)

Comments Submitted to IROS 2025

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2410.10088 2024-10-15 cs.RO cs.AI cs.CV cs.LG 85%

The Ingredients for Robotic Diffusion Transformers

Sudeep Dasari, Oier Mees, Sebastian Zhao, Mohan Kumar Srirama, Sergey Levine

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

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2407.20179 2024-10-11 cs.RO cs.AI cs.CV cs.LG 85%

Theia: Distilling Diverse Vision Foundation Models for Robot Learning

Jinghuan Shang, Karl Schmeckpeper, Brandon B. May, Maria Vittoria Minniti, Tarik Kelestemur, David Watkins, Laura Herlant

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

Comments CoRL 2024

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