机器人 / 具身智能

Deep Robotic Prediction with hierarchical RGB-D Fusion

Yaoxian Song, Jun Wen, Yuejiao Fei, Changbin Yu

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

Comments 8 pages, 8 figures, submit to ICRA2020

A Single Multi-Task Deep Neural Network with Post-Processing for Object Detection with Reasoning and Robotic Grasp Detection

Dongwon Park, Yonghyeok Seo, Dongju Shin, Jaesik Choi, Se Young Chun

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

Comments Dongwon Park and Yonghyeok Seo are equally contributed to this work

Real-Time, Highly Accurate Robotic Grasp Detection using Fully Convolutional Neural Networks with High-Resolution Images

Dongwon Park, Yonghyeok Seo, Se Young Chun

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

Comments This work was superceded by arXiv:1812.07762

Development of a Robotic System for Automatic Wheel Removal and Fitting

Gideon Gbenga Oladipupo

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

Comments 8 pages, 17 figures and 3 tables

6-DOF GraspNet: Variational Grasp Generation for Object Manipulation

Arsalan Mousavian, Clemens Eppner, Dieter Fox

专题命中 机器人操作 ：manipulation(title,abstract)；分类 cs.RO、cs.CV

Comments Accepted to ICCV 2019. Extended camera ready version with additional experiments

Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks

Xinchen Yan, Mohi Khansari, Jasmine Hsu, Yuanzheng Gong, Yunfei Bai, Sören Pirk, Honglak Lee

专题命中 机器人操作 ：robotic(title)；manipulation(abstract)；分类 cs.RO、cs.CV

We Need No Pixels: Video Manipulation Detection Using Stream Descriptors

David Güera, Sriram Baireddy, Paolo Bestagini, Stefano Tubaro, Edward J. Delp

专题命中 机器人操作 ：manipulation(title,abstract)；分类 cs.CV、cs.LG

Comments 7 pages, 6 figures, presented at the ICML 2019 Worksop on Synthetic Realities: Deep Learning for Detecting AudioVisual Fakes

Combining RGB and Points to Predict Grasping Region for Robotic Bin-Picking

Quanquan Shao, Jie Hu

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

Comments 5 pages, 6 figures

Extracting Contact and Motion from Manipulation Videos

Konstantinos Zampogiannis, Kanishka Ganguly, Cornelia Fermuller, Yiannis Aloimonos

专题命中 机器人操作 ：manipulation(title,abstract)；分类 cs.RO、cs.CV

A dataset of 40K naturalistic 6-degree-of-freedom robotic grasp demonstrations

Rajan Iyengar, Victor Reyes Osorio, Presish Bhattachan, Adrian Ragobar, Bryan Tripp

专题命中 机器人操作 ：robotic(title)；robotics(abstract)；分类 cs.RO、cs.LG

Endowing Robots with Longer-term Autonomy by Recovering from External Disturbances in Manipulation through Grounded Anomaly Classification and Recovery Policies

Hongmin Wu, Shuangqi Luo, Longxin Chen, Shuangda Duan, Sakmongkon Chumkamon, Dong Liu, Yisheng Guan, Juan Rojas

专题命中 机器人操作 ：manipulation(title,abstract)；分类 cs.RO、cs.AI

Comments 33 pages, 28 figures. Supplemental info, code, and videos found at: http://www.juanrojas.net/re_enact_adapt/

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, Bryan Catanzaro

专题命中 机器人操作 ：manipulation(title,abstract)；分类 cs.CV、cs.LG

Comments v2: CVPR camera ready, adding more results for edge-to-photo examples

Domain Randomization and Generative Models for Robotic Grasping

Joshua Tobin, Lukas Biewald, Rocky Duan, Marcin Andrychowicz, Ankur Handa, Vikash Kumar, Bob McGrew, Jonas Schneider, Peter Welinder, Wojciech Zaremba, Pieter Abbeel

专题命中 机器人操作 ：robotic(title,abstract)；分类 cs.RO、cs.LG

Comments 8 pages, 11 figures. Submitted to 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018)

Object Manipulation Learning by Imitation

Zhen Zeng, Benjamin Kuipers

专题命中 机器人操作 ：manipulation(title,abstract)；分类 cs.RO、cs.AI

Comments A more detailed report compared to previous versions

Joint Discovery of Object States and Manipulation Actions

Jean-Baptiste Alayrac, Josev Sivic, Ivan Laptev, Simon Lacoste-Julien

专题命中 机器人操作 ：manipulation(title,abstract)；分类 cs.CV、cs.LG

Comments Appears in: International Conference on Computer Vision 2017 (ICCV 2017). 15 pages

Backward-Forward Search for Manipulation Planning

Caelan Reed Garrett, Tomas Lozano-Perez, Leslie Pack Kaelbling

专题命中 机器人操作 ：manipulation(title,abstract)；分类 cs.RO、cs.AI

Comments 8 pages in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015

Robot Vision Architecture for Autonomous Clothes Manipulation

Li Sun, Gerardo Aragon-Camarasa, Simon Rogers, J. Paul Siebert

专题命中 机器人操作 ：manipulation(title,abstract)；分类 cs.RO、cs.CV

Comments 14 pages, under review

Dictionary Learning for Robotic Grasp Recognition and Detection

Ludovic Trottier, Philippe Giguère, Brahim Chaib-draa

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

Comments Submitted at the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016)

Learning to Remove Multipath Distortions in Time-of-Flight Range Images for a Robotic Arm Setup

Kilho Son, Ming-Yu Liu, Yuichi Taguchi

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

Comments 8 pages, 11 figures, will be presented to ICRA 2016

Continuous and Simultaneous Gesture and Posture Recognition for Commanding a Robotic Wheelchair; Towards Spotting the Signal Patterns

Ali Boyali, Naohisa Hashimoto, Manolya Kavakli

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

Comparison of Selection Methods in On-line Distributed Evolutionary Robotics

Iñaki Fernández Pérez, Amine Boumaza, François Charpillet

专题命中 机器人操作 ：robotics(title)；navigation(abstract)；分类 cs.RO、cs.AI

Journal ref ALIFE 14, Jul 2014, New York, United States. Artificial Life 14 in Complex Adaptive Systems, MIT Press, Artificial Life 14

Learning and Reasoning with Action-Related Places for Robust Mobile Manipulation

Freek Stulp, Andreas Fedrizzi, Lorenz Mösenlechner, Michael Beetz

专题命中 机器人操作 ：manipulation(title,abstract)；分类 cs.RO、cs.AI

Journal ref Journal Of Artificial Intelligence Research, Volume 43, pages 1-42, 2012

URF: A Unified Robot Control-Policy Framework for Stable Contact Aware Manipulation

URF：用于稳定接触感知操纵的统一机器人控制策略框架

Jiyou Shin, Youngjin Seo, Jaeseog Won, Sungwon Seo, Hyunjun Kim, Seokmin Yoon, Tuan Luong, Hyungpil Moon

机构 * Faculty of Mechanical Engineering, Sungkyunkwan University（成均馆大学机械工程学院） ； Faculty of Intelligent Robotics, Sungkyunkwan University（成均馆大学智能机器人学院） 纠错

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

AI总结 研究针对基于学习的操纵策略中动作预测与执行分离在刚性接触时的问题，提出URF统一框架，结合多模态观察预测虚拟目标等，利用接触力构建标签监督控制器模式预测，在相关任务中提升成功率并减少失败模式。

Comments 8 pages, 5 figures, 2 tables. Submitted to IEEE Robotics and Automation Letters (RA-L)

Leveraging Two Robotic Arms for Tight Assembly Performance Gains

利用两个机器人手臂实现紧密装配性能提升

Dror Livnat, Yuval Lavi, Michael M. Bilevich, Dan Halperin

机构 * Blavatnik School of Computer Science and Artificial Intelligence, Tel-Aviv University（特拉维夫大学布拉瓦特尼克计算机科学与人工智能学院） 纠错

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

AI总结 该研究针对两个机器人手臂执行装配操作给出端到端框架，分析两臂同时操作优势，方法在模拟和实际机器人中实现，能减少执行时间、提升轨迹质量、加速搜索有效放置，还确定了机器人工作单元尺寸界限。

Comments Appeared in the 2026 IEEE International Conference on Robotics and Automation (ICRA)

CoDex: Learning Compositional Dexterous Functional Manipulation without Demonstrations

CoDex: 无需演示学习组合式灵巧功能性操作

Bowen Jiang, William Painter Reger, Roberto Martin-Martin

机构 * University of Texas at Austin（德克萨斯大学奥斯汀分校） 纠错

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

AI总结 提出零演示框架CoDex，结合视觉语言模型与强化学习，自主发现并执行涉及物体内部机制操控的灵巧操作策略，在多种工具任务中验证了其有效性。

Comments IEEE International Conference on Robotics and Automation (ICRA) 2026. Project page: https://robin-lab.cs.utexas.edu/CoDex/

Chronos: A Physics-Informed Full-History Framework for Non-Markovian Long-Horizon Manipulation

Chronos: 一种基于物理信息的全历史框架用于非马尔可夫长时域操作

Yulin Zhou, Yimeng Wang, Nengyu Wang, Shaojia Xing, Shiyun Tu, Xiang Li, Jingkai Zhang, Ningbo Jiang, Yuankai Lin, Hua Yang, Xiangrui Zeng, Zhouping Yin

机构 * School of Mechanical Science and Engineering, Huazhong University of Science and Technology（华中科技大学机械科学与工程学院） 纠错

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

AI总结 针对现有策略依赖马尔可夫假设导致记忆依赖任务失败的问题，提出Chronos框架，将观测历史作为策略潜状态，通过选择性状态空间模型传播因果历史状态，并利用二阶薛定谔桥预测加速度场，在16个模拟和4个真实任务中显著超越基线。

Comments 20 pages, 10 figures. Submitted to IEEE Transactions on Robotics

Artists' Views on Robotics Involvement in Painting Productions

艺术家对机器人参与绘画创作的看法

Francesca Cocchella, Nilay Roy Choudhury, Eric Chen, Patrícia Alves-Oliveira

机构 * CONTACT Unit, Italian Institute of Technology（意大利理工学院联络单位） ； University of Michigan（密歇根大学） 纠错

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

AI总结 通过八位抽象艺术家与机器人合作绘画的实证研究，发现人机协作更富趣味性和反思性，提供更大自主性，并激发克服系统限制的新策略。

Comments 10 pages, 9 figures, submitted to RAM special issue: Arts and Robotics

A Conversational Framework for Human-Robot Collaborative Manipulation with Distributed Generative AI models

基于分布式生成式AI模型的人机协作操作对话框架

Arash Ghasemzadeh Kakroudi, Roel Pieters

机构 * Automation Technology and Mechanical Engineering, Tampere University（自动化技术与机械工程，塔尔库大学） 纠错

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

AI总结 提出一个分布式对话框架，集成语言和视觉语言模型与ROS 2执行栈，实现从自由形式用户命令生成结构化操作请求，并通过视觉基础将图像空间目标转换为机器人框架目标，实验验证了端到端任务可靠性和延迟。

Comments Accepted to the 35th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2026). The final published version will appear under the title "A Distributed Conversational Framework for Human-Robot Collaborative Manipulation Using Local LLMs and VLMs"

COMPASS: Confined-space Manipulation Planning with Active Sensing Strategy

COMPASS：基于主动感知策略的受限空间操作规划

Qixuan Li, Chen Le, Dongyue Huang, Jincheng Yu, Xinlei Chen

机构 * Shenzhen International Graduate School, Tsinghua University, Shenzhen, China（清华大学深圳国际研究生院，中国深圳） ； Department of Electronic Engineering, and the Institute for Embodied Intelligence and Robotics, Tsinghua University, Beijing, China（清华大学电子工程系，以及 embodied intelligence and robotics 研究院，中国北京） ； The School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore（南洋理工大学电子与电气工程学院，新加坡） 纠错

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

AI总结 本文提出COMPASS框架，通过主动感知策略在受限和杂乱环境中实现安全操作，提高了操作成功率。

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

A Dexterous and Compliant Gripper With Soft Hydraulic Actuation for Microgravity Manipulation

一种具有软液压驱动的灵活机械手用于微重力操作

William Su, Jordan Kam, Yixiao Wang, Jianshu Zhou

机构 * Aerospace Engineering Program, University of California, Berkeley（加州大学伯克利分校航空航天工程系） ； Department of Mechanical Engineering, University of California, Berkeley（加州大学伯克利分校机械工程系） ； Department of Mechanical Engineering, National University of Singapore（新加坡国立大学机械工程系） 纠错

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

AI总结 本文提出将DexCoHand灵活的双指六自由度机械手与Astrobee自由飞行机器人集成，以实现微重力环境下的灵活操作，该机械手在保持稳定接触的同时减少了对自由飞行基底的干扰，提高了操作的连续性和适应性。

Comments Accepted to the IEEE ICRA 2026 Space Robotics Workshop (SRW). 4 pages, 3 figures