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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 61441 信号源:cs.RO, cs.AI, cs.CV, cs.LG

1. 机器人操作 22164 篇

2606.19586 2026-06-19 cs.RO 新提交 72%

One Demo is Worth a Thousand Trajectories: Action-View Augmentation for Visuomotor Policies

一个演示胜过千条轨迹:用于视觉运动策略的动作-视角增强

Chuer Pan, Litian Liang, Dominik Bauer, Eric Cousineau, Benjamin Burchfiel, Siyuan Feng, Shuran Song

机构 * Stanford University(斯坦福大学) Columbia University(哥伦比亚大学) Toyota Research Institute(丰田研究所)

专题命中 机器人操作 :manipulation(abstract);robotic(abstract);分类 cs.RO;robot learning(journal_ref)

AI总结 提出一种数据增强框架,通过高斯泼溅和轨迹优化生成逼真的鱼眼图像序列和物理可行的动作轨迹,提升操作策略在场景变化和障碍物下的成功率。

Comments Project website: https://chuerpan.com/1001-demos.github.io/. Published at CoRL 2025

Journal ref Proceedings of The 9th Conference on Robot Learning, PMLR 305:3902-3914, 2025

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1705.05116 2026-06-04 cs.RO cs.AI cs.CV cs.LG cs.SY eess.SY 72%

Tuning Modular Networks with Weighted Losses for Hand-Eye Coordination

通过加权损失调节模块网络以提升手眼协调

Fangyi Zhang, Jürgen Leitner, Michael Milford, Peter I. Corke

专题命中 机器人操作 :robotic(abstract,comments);分类 cs.RO、cs.AI、cs.CV

AI总结 本文提出端到端微调方法,通过加权损失提升模块化深度视觉-运动策略在平面抓取任务中的手眼协调性能。

Comments 2 pages, to appear in the Deep Learning for Robotic Vision (DLRV) Workshop in CVPR 2017

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2606.03545 2026-06-03 cs.RO 72%

Static and Dynamic Representations for Tactile Contact-Angle Estimation with Event-Based Sensors

基于事件传感器的触觉接触角估计的静态与动态表示

Yanhui Lu, Efi Psomopoulou, Benjamin Ward-Cherrier

机构 * School of Engineering Mathematics and Technology, University of Bristol(布里斯托大学工程数学与科技学院)

专题命中 机器人操作 :manipulation(abstract);robotic(abstract);分类 cs.RO;robotics(comments)

AI总结 本文利用事件触觉传感器(NeuroTac)的事件流,比较了三种事件衍生的空间轮廓表示(动态、静态及其组合)用于接触角估计,并验证了其在机器人操作中实现高频、低延迟触觉角度估计的潜力。

Comments 8 pages, 8 figures. Submitted to IEEE Robotics and Automation Letters (RAL), under review

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2508.09976 2026-05-29 cs.RO 72%

Masquerade: Learning from In-the-wild Human Videos using Data-Editing

Masquerade: 利用数据编辑从真实世界人类视频中学习

Marion Lepert, Jiaying Fang, Jeannette Bohg

机构 * Stanford University(斯坦福大学)

专题命中 机器人操作 :manipulation(abstract);robot policy(abstract);分类 cs.RO;robotics(journal_ref)

AI总结 提出Masquerade方法,通过编辑真实世界第一人称人类视频(估计3D手部姿态、修复手臂、叠加渲染双臂机器人)弥合视觉具身差距,并利用编辑后的视频预训练视觉编码器、微调扩散策略头,在三个长时程双臂厨房任务中实现比基线高5-6倍的泛化性能。

Comments Project website at https://masquerade-robot.github.io/

Journal ref 2026 IEEE International Conference on Robotics and Automation (ICRA), 2026

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2503.00779 2026-05-29 cs.RO 72%

Phantom: Training Robots Without Robots Using Only Human Videos

Phantom: 仅使用人类视频训练机器人,无需机器人

Marion Lepert, Jiaying Fang, Jeannette Bohg

机构 * Stanford University(斯坦福大学)

专题命中 机器人操作 :robot learning(abstract,journal_ref);manipulation(abstract);分类 cs.RO

AI总结 提出一种仅从人类视频演示中训练机器人操作策略的框架,通过手部姿态估计和视觉数据编辑将人类演示转化为机器人兼容的观察-动作对,实现零样本部署并达到最高92%的成功率。

Comments Project website at https://phantom-human-videos.github.io

Journal ref The 9th Conference on Robot Learning (CoRL 2025)

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2605.20392 2026-05-21 cs.RO 72%

VBT-MPC: Vision-Based Tactile MPC for Contour Following

VBT-MPC:基于视觉的触觉MPC用于轮廓跟踪

Edison Velasco-Sanchez, Luis F. Recalde, Guanrui Li, Pablo Gil

机构 * AUROVA Lab, Computer Science Research Institute, University of Alicante(AUROVA实验室,计算机科学研究院,阿利坎特大学) Worcester Polytechnic Institute(沃思堡理工大学)

专题命中 机器人操作 :manipulation(abstract);robotic(abstract);分类 cs.RO;robotics(comments)

AI总结 本文提出了一种基于视觉的触觉模型预测控制(VBT-MPC)框架,用于机器人轮廓跟踪,通过眼在手配置安装的基于视觉的触觉传感器(VBTS)直接在轮廓特征空间中操作,避免了单独的姿态估计模块和复杂的力控制架构,并在仿真和实际实验中评估了在不同几何形状和材料物体上的轮廓跟踪性能。

Comments This article has been accepted for publication in IEEE Robotics and Automation Letters. This is a preprint version. This work was supported by the Interreg-VI Sudoe and European Regional Development Funds through the REMAIN Project under Grant S1/1.1/E0111

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2604.26450 2026-05-19 cs.RO 72%

Reactive Motion Generation via Phase-varying Neural Potential Functions

通过相变神经势函数实现反应性运动生成

Ahmet Tekden, Dimitrios Kanoulas, Aude Billard, Yasemin Bekiroglu

机构 * Chalmers AI Research Center (CHAIR)(查尔姆斯人工智能研究中心(CHAIR)) Chalmers Gender Initiative for Excellence (Genie)(查尔姆斯卓越性别倡议(Genie)) Wallenberg AI, Autonomous Systems and Software Program (WASP)(瓦兰贝格人工智能、自主系统和软件计划(WASP)) University College London(伦敦大学学院) Ecole Polytechnique Federale de Lausanne (EPFL)(瑞士联邦理工学院(EPFL))

专题命中 机器人操作 :manipulation(abstract);robotic(abstract);分类 cs.RO;robotics(comments)

AI总结 本文提出了一种基于相变神经势函数(PNPF)的运动生成框架,通过直接从状态进展估计相变量来条件势函数,从而在点到点、周期性和全6D运动任务中实现更有效的泛化,并在有交点轨迹和外部干扰下表现出更强的鲁棒性。

Comments Accepted by IEEE Robotics and Automation Letters (RAL)

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2605.09999 2026-05-12 cs.RO cs.PF cs.SY eess.SY 72%

Muninn: Your Trajectory Diffusion Model But Faster

Muninn:你的轨迹扩散模型但更快

Gokul Puthumanaillam, Hao Jiang, Ruben Hernandez, Jose Fuentes, Paulo Padrao, Leonardo Bobadilla, Melkior Ornik

机构 * University of Illinois Urbana-Champaign(伊利诺伊大学厄巴纳-香槟分校) Florida International University(佛罗里达国际大学) Providence College(普罗维登斯学院)

专题命中 机器人操作 :manipulation(abstract);navigation(abstract);分类 cs.RO;robotics(comments)

AI总结 本文提出Muninn,一种无需训练的缓存包装器,通过利用扩散轨迹规划器的两个信号,减少去噪器计算,实现轨迹扩散模型的实时应用,提升速度并保证性能和安全性。

Comments Accepted to Robotics: Science and Systems 2026

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2605.06759 2026-05-11 cs.RO 72%

An Aerial Manipulator for Perception-Driven Flower Targeting Toward Contactless Pollination in Vertical Farming

一种用于感知驱动花靶向的空中机械臂,以实现垂直农场的无接触授粉

Chenzhe Jin, Zhuohang Wu, Yifan Cai, Xiangqi Li, Jan Ming Kevin Tan, Narsimlu Kemsaram, Valerio Modugno

机构 * Department of Computer Science University College London London United Kingdom(计算机科学系伦敦大学学院伦敦英国) Department of Artificial Intelligence University of Malaya Kuala Lumpur Malaysia(人工智能系马来大学吉隆坡马来西亚) University College London(伦敦大学学院) University of Malaya(马来大学)

专题命中 机器人操作 :manipulation(abstract);robotic(abstract);分类 cs.RO;robotics(comments)

AI总结 本文提出了一种用于垂直农场中感知驱动花靶向的空中机械臂平台,结合RGBD感知、MPPI控制和轻量2自由度机械臂,实现精确末端定位和稳定授粉。

Comments This paper has been accepted for publication in the Proceedings of the 2026 4th International Conference on Robotics, Control and Vision Engineering (RCVE 2026), 10-12 July, 2026, Tokyo, Japan

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2605.06432 2026-05-08 cs.RO 72%

TouchDrive: Electronics-Free Tactile Sensing Interface for Assistive Grasping

TouchDrive: 无电子触觉感知接口用于辅助抓取

Jing Xu, Xuezhi Niu, Didem Gurdur Broo, Klas Hjort

机构 * Division of Microsystems Technology, Department of Electrical Engineering(微系统技术部门) Cyber-Physical Systems Lab, Department of Information Technology(网络物理系统实验室)

专题命中 机器人操作 :manipulation(abstract,comments);robotic(abstract);分类 cs.RO

AI总结 TouchDrive通过气动反馈实现无电子触觉感知,使用户能精确操控抓取力,适用于处理易碎和柔软物体,已在多种机器人平台验证可靠性和实用性。

Comments Accepted at ICRA 2026 workshop on Visuo-Tactile Perception, Learning, Control for Manipulation: Embodied Tactile Intelligence in Predictive Perception, Learning & Control in Grasping & Manipulation, Emerging the Role of Embodiment and Visuo -Tactile - LLM Foundation Models (ICRA RoboTac 2026)

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2511.03691 2026-04-30 cs.RO 72%

Source-Free Bistable Fluidic Gripper for Size-Selective and Stiffness-Adaptive Grasping

无源双稳液体夹爪用于尺寸选择性和刚度自适应抓取

Zhihang Qin, Yueheng Zhang, Wan Su, Linxin Hou, Shenghao Zhou, Zhijun Chen, Yu Jun Tan, Cecilia Laschi

机构 * Advanced Robotics Centre, National University of Singapore(新加坡国立大学先进机器人中心) Department of Electrical and Computer Engineering, National University of Singapore(新加坡国立大学电子与计算机工程系)

专题命中 机器人操作 :robotics(abstract,journal_ref);manipulation(abstract);分类 cs.RO

AI总结 本文提出一种无外部能源的双稳液体夹爪,通过内部液体重新分布实现稳定且尺寸选择性的抓取,具备自适应刚度调节能力,适用于水下和野外环境。

Journal ref Proc. IEEE Int. Conf. on Soft Robotics (RoboSoft), Kanazawa, Japan, 2026

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2509.18455 2026-04-10 cs.RO 72%

Learning Geometry-Aware Nonprehensile Pushing and Pulling with Dexterous Hands

学习几何感知的非抓取推拉与拉拽技术:灵活手部应用

Yunshuang Li, Yiyang Ling, Gaurav S. Sukhatme, Daniel Seita

专题命中 机器人操作 :manipulation(abstract);robotic(abstract);分类 cs.RO;robotics(comments)

AI总结 本文提出GD2P方法,通过生成和学习预接触手部姿态实现非抓取推拉,利用接触引导采样和物理模拟生成有效姿态,展示灵活手部在非抓取操作中的应用潜力。

Comments Published at International Conference on Robotics and Automation (ICRA) 2026

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2509.19454 2026-04-06 cs.RO cs.AI cs.CV cs.LG 72%

ROPA: Synthetic Robot Pose Generation for RGB-D Bimanual Data Augmentation

ROPA: 合成机器人姿态生成用于RGB-D双臂数据增强

Jason Chen, I-Chun Arthur Liu, Gaurav Sukhatme, Daniel Seita

机构 * University of Southern California(南加州大学)

专题命中 机器人操作 :manipulation(abstract);分类 cs.RO、cs.AI、cs.CV;robotics(comments)

AI总结 本文提出ROPA,通过微调Stable Diffusion生成RGB-D双臂任务的合成数据,提升机器人双臂操控的鲁棒性与数据增强效率。

Comments Accepted to the International Conference on Robotics and Automation (ICRA) 2026

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2604.00744 2026-04-02 cs.RO 72%

How to Train your Tactile Model: Tactile Perception with Multi-fingered Robot Hands

如何训练你的触觉模型:多指机械手的触觉感知

Christopher J. Ford, Kaichen Shi, Laura Butcher, Nathan F. Lepora, Efi Psomopoulou

机构 * Bristol Robotics Laboratory, University of Bristol(布里斯托大学布里斯托机器人实验室)

专题命中 机器人操作 :manipulation(abstract);robotic(abstract);分类 cs.RO;robotics(comments)

AI总结 本文提出TacViT模型,基于视觉Transformer实现触觉感知,能有效泛化新传感器数据,减少数据收集和重训练需求,提升多指机械手的触觉感知能力。

Comments Accepted for publication at the International Conference on Robotics and Automation (ICRA) 2026, Vienna

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2604.00738 2026-04-02 cs.RO 72%

SoftHand Model-W: A 3D-Printed, Anthropomorphic, Underactuated Robot Hand with Integrated Wrist and Carpal Tunnel

SoftHand Model-W: 一种3D打印的拟人化欠驱动机器人手,集成腕关节和腕管机制

Dhillon B. Merritt, Christopher J. Ford, Haoran Li, Malia Smith, Zhixing Chen, Efi Psomopoulou, Nathan F. Lepora

机构 * Bristol Robotics Laboratory, University of Bristol(布里斯托大学布里斯托机器人实验室)

专题命中 机器人操作 :manipulation(abstract);robotic(abstract);分类 cs.RO;robotics(comments)

AI总结 SoftHand Model-W通过集成腕关节和腕管机制,实现了五指主动屈伸及掌部主动屈伸和桡侧/尺侧偏移,展示了近端自由度在现实机器人应用中实现多样化、类人操作的关键作用。

Comments Accepted for publication at the International Conference of Robotics and Automation (ICRA) 2026, Vienna

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2603.10890 2026-03-12 cs.RO cs.SY eess.SY 72%

A gripper for flap separation and opening of sealed bags

一种用于分离隔层和开启密封袋的夹具

Sergi Foix, Jaume Oriol, Carme Torras, Júlia Borràs

机构 * Institut de Robòtica i Informàtica Industrial, CSIC-UPC(机器人与信息技术研究所,西班牙加泰罗尼亚科技院-巴塞罗那理工大学)

专题命中 机器人操作 :manipulation(abstract);robotic(abstract);分类 cs.RO;robotics(comments)

AI总结 本研究提出了一种新型夹具设计,通过主动凹槽滚轮指尖和顺应性手指,实现对薄而灵活隔层的可靠分离和密封开启,以自动化医院中高频率重复的袋开启任务。

Comments 8 pages, Accepted at the 2026 IEEE International Conference on Robotics & Automation (ICRA2026)

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2503.00133 2026-03-11 cs.RO 72%

A Magnetic-Actuated Vision-Based Whisker Array for Contact Perception and Grasping

一种基于磁驱动的视觉感知触须阵列用于接触感知与抓取

Zhixian Hu, Juan Wachs, Yu She

机构 * School of Industrial Engineering, Purdue University(工业工程学院,普渡大学)

专题命中 机器人操作 :robotics(abstract,comments);manipulation(abstract);分类 cs.RO

AI总结 本研究提出了一种磁驱动视觉触须阵列传感器,通过高精度触觉反馈实现物体分类和抓取任务,展示了其在精细操作中的应用潜力。

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

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2603.05312 2026-03-06 cs.RO 72%

UltraDexGrasp: Learning Universal Dexterous Grasping for Bimanual Robots with Synthetic Data

UltraDexGrasp: 为双臂机器人学习通用灵巧抓取

Sizhe Yang, Yiman Xie, Zhixuan Liang, Yang Tian, Jia Zeng, Dahua Lin, Jiangmiao Pang

机构 * Shanghai AI Laboratory(上海人工智能实验室) The Chinese University of Hong Kong(香港中文大学) Zhejiang University(浙江大学) The University of Hong Kong(香港大学) Peking University(北京大学)

专题命中 机器人操作 :manipulation(abstract);robotic(abstract);分类 cs.RO;robotics(comments)

AI总结 UltraDexGrasp通过合成数据训练出高效抓取策略,实现双臂机器人在多种物体上的高成功率抓取。

Comments Published at International Conference on Robotics and Automation (ICRA) 2026

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2603.03148 2026-03-04 cs.RO 72%

From Language to Action: Can LLM-Based Agents Be Used for Embodied Robot Cognition?

从语言到行动:基于大语言模型的代理能否用于具身机器人认知?

Shinas Shaji, Fabian Huppertz, Alex Mitrevski, Sebastian Houben

机构 * Institute of AI and Autonomous Systems (A 2 S)(人工智能与自主系统研究所) Hochschule Bonn-Rhein-Sieg(波恩-莱茵-锡格大学) Division for Systems and Control(系统与控制系) Chalmers University of Technology(查尔姆斯理工大学) Fraunhofer Institute for Intelligent Analysis and Information Systems(弗劳恩霍夫智能分析与信息系统研究所)

专题命中 机器人操作 :navigation(abstract);robotic(abstract);分类 cs.RO;robotics(comments)

AI总结 本文研究了基于大语言模型的代理在家庭任务中的表现,探讨其在具身机器人认知中的潜力与挑战。

Comments Accepted for publication at the 2026 IEEE International Conference on Robotics and Automation (ICRA)

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2603.00892 2026-03-03 cs.RO 72%

A Novel Reconfigurable Dexterous Hand Based on Triple-Symmetric Bricard Parallel Mechanism

一种基于三对称布拉克平行机构的新型可重构灵巧手

Chunxu Tian, Zhichao Huang, Hongzeng Li, Bo Wang, Jinghao Jia, Yirui Sun, Dan Zhang

机构 * Institute of AI and Robotics, Academy for Engineering & Technology, Fudan University(人工智能与机器人研究所,工程与技术学院,复旦大学) Department of Mechanical Engineering, The Hong Kong Polytechnic University(机械工程系,香港理工大学)

专题命中 机器人操作 :manipulation(abstract);robotic(abstract);分类 cs.RO;robotics(comments)

AI总结 本文提出了一种基于三对称布拉克平行机构的新型可重构灵巧手,通过拓扑和尺寸综合优化自由度和连杆配置,提升抓取多样性和操作精度。

Comments 8 pages, 14 figures, 2026 IEEE International Conference on Robotics & Automation

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2602.05029 2026-02-06 cs.RO cs.AI cs.CV cs.LG 72%

Differentiable Inverse Graphics for Zero-shot Scene Reconstruction and Robot Grasping

可微逆图形用于零样本场景重建与机器人抓取

Octavio Arriaga, Proneet Sharma, Jichen Guo, Marc Otto, Siddhant Kadwe, Rebecca Adam

机构 * DFKI GmbH

专题命中 机器人操作 :robotic(abstract);分类 cs.RO、cs.AI、cs.CV;robotics(comments)

AI总结 本文提出了一种可微神经图形模型,通过结合神经基础模型与基于物理的可微渲染,实现零样本场景重建和机器人抓取,无需额外3D数据或测试样本。

Comments Submitted to IEEE Robotics and Automation Letters (RA-L) for review. This version includes the statement required by IEEE for preprints

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2602.01679 2026-02-03 cs.RO cs.AI cs.CV cs.LG 72%

Towards Autonomous Instrument Tray Assembly for Sterile Processing Applications

迈向无菌处理应用的自主器械托盘组装

Raghavasimhan Sankaranarayanan, Paul Stuart, Nicholas Ahn, Arno Sungarian, Yash Chitalia

机构 * Department of Mechanical Engineering, University of Louisville(机械工程系,路易斯维尔大学) Sterile Processing Department, Saint Vincent’s Hospital(无菌处理部,圣文森医院) Department of Orthopedic Surgery, University of Louisville(骨科手术系,路易斯维尔大学) Department of Neurological Surgery, University of Massachusetts(神经外科系,马萨诸塞大学)

专题命中 机器人操作 :robotic(abstract);分类 cs.RO、cs.AI、cs.CV;robotics(comments)

AI总结 本研究提出了一种自动化机器人系统,用于无菌处理应用中的器械托盘组装,通过混合感知管道和规则打包算法提高效率和安全性。

Comments 7 pages, 9 figures, 2026 International Symposium on Medical Robotics

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2512.21886 2025-12-29 cs.RO 72%

Online Inertia Parameter Estimation for Unknown Objects Grasped by a Manipulator Towards Space Applications

在线惯性参数估计用于被机械臂抓取的未知物体,面向航天应用

Akiyoshi Uchida, Antonine Richard, Kentaro Uno, Miguel Olivares-Mendez, Kazuya Yoshida

机构 * Space Robotics Lab. (SRL) in the Department of Aerospace Engineering, Graduate School of Engineering, Tohoku University(太空机器人实验室(SRL)位于东京大学工学研究生院航空航天工程系) The Space Robotics Research Group at the Interdisciplinary Research Center for Security reliability and Trust (SnT) in the University of Luxembourg(卢森堡大学安全可靠性与信任跨学科研究中心的太空机器人研究组)

专题命中 机器人操作 :robotics(abstract,comments);manipulation(abstract);分类 cs.RO

AI总结 本文提出了一种基于动量守恒的在线惯性参数估计方法,适用于自由基座机器人,在航天任务中实现了高精度的参数识别。

Comments Author's version of a manuscript accepted at the International Conference on Space Robotics 2025 (iSpaRo 2025). (c) IEEE

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2512.21043 2025-12-25 cs.RO 72%

Tracing Energy Flow: Learning Tactile-based Grasping Force Control to Prevent Slippage in Dynamic Object Interaction

追踪能量流动:学习基于触觉的抓取力控制以防止动态物体交互中的滑动

Cheng-Yu Kuo, Hirofumi Shin, Takamitsu Matsubara

机构 * Graduated School of Science and Technology(科学技术研究生学校) Nara Institute of Science and Technology(奈良科学技术大学) Honda R&D, Ltd.(本田研发有限公司)

专题命中 机器人操作 :manipulation(abstract);robotic(abstract);分类 cs.RO;robotics(comments)

AI总结 本文提出了一种基于触觉的抓取力控制方法,通过能量抽象和模型学习,在动态交互中有效防止滑动,无需外部传感或先验知识。

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

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2511.15995 2025-11-21 cs.RO 72%

PushingBots: Collaborative Pushing via Neural Accelerated Combinatorial Hybrid Optimization

PushingBots: 通过神经加速的组合混合优化实现协作推搡

Zili Tang, Ying Zhang, Meng Guo

机构 * School of Advanced Manufacturing and Robotics, Peking University(先进制造与机器人学院,北京大学)

专题命中 机器人操作 :manipulation(abstract);robotic(abstract);分类 cs.RO;robotics(comments)

AI总结 PushingBots通过神经加速的组合混合优化实现机器人协作推搡,解决复杂环境中多物体精准推运问题。

Comments 20 pages, 24 figures. Accepted to IEEE Transactions on Robotics (T-RO), 2025

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2511.09602 2025-11-14 cs.RO 72%

ScaleADFG: Affordance-based Dexterous Functional Grasping via Scalable Dataset

Sizhe Wang, Yifan Yang, Yongkang Luo, Daheng Li, Wei Wei, Yan Zhang, Peiying Hu, Yunjin Fu, Haonan Duan, Jia Sun, Peng Wang

机构 * State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences(多模态人工智能系统国家重点实验室,自动化研究所,中国科学院) School of Artificial Intelligence, University of Chinese Academy of Sciences(中国科学院大学人工智能学院) CasiaHand Robotics Co., Ltd(CasiaHand机器人有限公司) SenseTime Research, SenseTime(商汤研究,商汤) Idiap Research Institute(Idiap研究所)

专题命中 机器人操作 :manipulation(abstract);robotic(abstract);分类 cs.RO;robotics(comments)

Comments Accepted by IEEE Robotics and Automation Letters

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2210.08427 2025-11-14 cs.RO 72%

Stochastic Adaptive Estimation in Polynomial Curvature Shape State Space for Continuum Robots

Guoqing Zhang, Long Wang

机构 * Department of Mechanical Engineering, Stevens Institute of Technology(机械工程系,史蒂文斯理工学院)

专题命中 机器人操作 :robotics(abstract,comments);manipulation(abstract);分类 cs.RO

Comments 20 pages. IEEE Transactions on Robotics - Accepted; this arXiv version corresponds to the final revision. Supplementary appendix provided as an ancillary PDF

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2402.16114 2025-10-21 cs.RO 72%

Controlling Deformable Objects with Non-negligible Dynamics: a Shape-Regulation Approach to End-Point Positioning

Sebastien Tiburzio, Tomás Coleman, Daniel Feliu-Talegon, Cosimo Della Santina

机构 * Department of Cognitive Robotics, Delft University of Technology(认知机器人系,代尔夫特理工大学) Institute of Robotics and Mechatronics, German Aerospace Center (DLR)(机器人与机电系统研究所,德国航空航天中心(DLR))

专题命中 机器人操作 :manipulation(abstract);robotic(abstract);分类 cs.RO;robotics(comments)

Comments 15 pages, 18 figures. Accepted for publication as a Regular Paper in the IEEE Transactions on Robotics (T-RO)

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2506.19397 2025-10-07 cs.RO 72%

A Survey on Soft Robot Adaptability: Implementations, Applications, and Prospects

Zixi Chen, Di Wu, Qinghua Guan, David Hardman, Federico Renda, Josie Hughes, Thomas George Thuruthel, Cosimo Della Santina, Barbara Mazzolai, Huichan Zhao, Cesare Stefanini

机构 * The BioRobotics Institute and the Department of Excellence in Robotics and AI(生物机器人研究所和机器人与人工智能卓越部门) Mærsk Mc-Kinney Møller Instituttet, University of Southern Denmark(马士基麦金尼莫勒研究所,南方丹麦大学) CREATE Lab, EPFL(EPFL创造实验室) Bio-Inspired Robotics Lab, University of Cambridge(生物启发机器人实验室,剑桥大学) The Khalifa University Center for Autonomous Robotic Systems, Khalifa University(卡利法大学自主机器人系统中心,卡利法大学) Department of Computer Science, University College London(计算机科学系,伦敦大学学院) Department of Cognitive Robotics, Delft University of Technology(认知机器人系,代尔夫特理工大学) Institute of Robotics and Mechatronics, German Aerospace Center (DLR)(机器人与机电研究所,德国航天中心(DLR)) Bioinspired Soft Robotics, Istituto Italiano di Tecnologia(生物启发软机器人,意大利技术研究院) Department of Mechanical Engineering and Beijing Key Lab of Precision/Ultra-Precision Manufacturing Equipment and Control, Tsinghua University(机械工程系和北京精密/超精密制造装备与控制重点实验室,清华大学)

专题命中 机器人操作 :robotics(abstract,comments);manipulation(abstract);分类 cs.RO

Comments 12 pages, 4 figures, accepted by IEEE Robotics & Automation Magazine

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2505.03725 2025-09-18 cs.RO 72%

Meta-Optimization and Program Search using Language Models for Task and Motion Planning

Denis Shcherba, Eckart Cobo-Briesewitz, Cornelius V. Braun, Marc Toussaint

机构 * TU Berlin(柏林技术大学)

专题命中 机器人操作 :manipulation(abstract);robotic(abstract);分类 cs.RO;robot learning(comments)

Comments 8 pages main text, 11 pages appendix, accepted at the 9th Annual Conference on Robot Learning (CoRL 2025)

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