机器人 / 具身智能

High-level programming and control for industrial robotics: using a hand-held accelerometer-based input device for gesture and posture recognition

Pedro Neto, Norberto Pires, Paulo Moreira

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

Comments Industrial Robot: An International Journal

Journal ref Industrial Robot: An International Journal, Vol. 37 Iss: 2, 2010, pp.137 - 147

Coalitional Manipulation for Schulze's Rule

Serge Gaspers, Thomas Kalinowski, Nina Narodytska, Toby Walsh

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

Restricted Manipulation in Iterative Voting: Convergence and Condorcet Efficiency

Umberto Grandi, Andrea Loreggia, Francesca Rossi, Kristen Brent Venable, Toby Walsh

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

Comments In Proceedings SR 2013, arXiv:1303.0071

Journal ref EPTCS 112, 2013, pp. 17-24

A Compliant, Underactuated Hand for Robust Manipulation

Lael U. Odhner, Leif P. Jentoft, Mark R. Claffee, Nicholas Corson, Yaroslav Tenzer, Raymond R. Ma, Martin Buehler, Robert Kohout, Robert D. Howe, Aaron M. Dollar

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

From the decoding of cortical activities to the control of a JACO robotic arm: a whole processing chain

Laurent Bougrain, Olivier Rochel, Octave Boussaton, Lionel Havet

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

Journal ref CAR - Control Architecture of Robots - 2012 (2012)

Eliminating the Weakest Link: Making Manipulation Intractable?

Jessica Davies, Nina Narodytska, Toby Walsh

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

Comments To appear in Proceedings of Twenty-Sixth Conference on Artificial Intelligence (AAAI-12)

Where are the hard manipulation problems?

Toby Walsh

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

Comments Invited tutorial at the Third International Workshop on Computational Social Choice 2010

Is Computational Complexity a Barrier to Manipulation?

Toby Walsh

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

Comments To appear in Proceedings of 11th International Workshop on Computational Logic in Multi-Agent Systems (CLIMA XI 2010)

Design and Engineering of a Chess-Robotic Arm

Ali Elouafiq

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

Comments 22 pages, Pseudo-code, State-of-the-art design

Immuno-inspired robotic applications: a review

Ali Raza, Benito R. Fernandez

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

Manipulation of Nanson's and Baldwin's Rules

Nina Narodytska, Toby Walsh, Lirong Xia

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

Complexity of and Algorithms for Borda Manipulation

Jessica Davies, George Katsirelos, Nina Narodytska, Toby Walsh

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

An Empirical Study of Borda Manipulation

Jessica Davies, George Katsirelos, Nina Narodystka, Toby Walsh

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

Comments To appear in Proceedings of the Third International Workshop on Computational Social Choice

Where are the really hard manipulation problems? The phase transition in manipulating the veto rule

Toby Walsh

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

Comments Proceedings of the Twenty-first International Joint Conference on Artificial Intelligence (IJCAI-09)

Journal ref IJCAI-2009

Manipulation Robustness of Collaborative Filtering Systems

Xiang Yan, Benjamin Van Roy

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

AI-Powered Augmented Reality as a Threat Vector for Human Manipulation

人工智能赋能的增强现实作为人类操控的威胁载体

Louis Rosenberg

专题命中 机器人操作 ：manipulation(title,abstract)

AI总结 本文探讨了AI赋能的增强现实技术在被第三方控制时可能带来的操控风险，并提出政策建议以降低此类风险。

Comments Citation of this book chapter: Rosenberg, Louis (2025) AI-Powered Augmented Reality as a Threat Vector for Human Manipulation. In book Augmented Reality - Situated Spatial Synergy. http://dx.doi.org/10.5772/intechopen.1011751

Joint Robotic Aerial Base Station Deployment and Wireless Backhauling in 6G Multi-hop Networks

Wen Shang, Yuan Liao, Vasilis Friderikos, Halim Yanikomeroglu

专题命中 机器人操作 ：robotic(title,abstract)

Comments This version reflects the conference publication in 2025 IEEE Wireless Communications and Networking Conference (WCNC), with a minor modified title and text content. The conference is:"Integrated Robotic Aerial Base Stations Deployment and Backhaul Design in 6G Multihop Networks," 2025 IEEE WCNC doi: 10.1109/WCNC61545.2025.10978194

Towards Solutions of Manipulation Tasks via Optimal Control of Projected Dynamical Systems

Anton Pozharskiy, Armin Nurkanović, Moritz Diehl

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

Comments 5 pages, 3 figures, Accepted for Robotics Science and Systems 2024, Frontiers of Optimization workshop

Robotic Environmental State Recognition with Pre-Trained Vision-Language Models and Black-Box Optimization

Kento Kawaharazuka, Yoshiki Obinata, Naoaki Kanazawa, Kei Okada, Masayuki Inaba

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

Comments Accepted at Advanced Robotics, website - https://haraduka.github.io/vlm-bbo/

DeformerNet: Learning Bimanual Manipulation of 3D Deformable Objects

Bao Thach, Brian Y. Cho, Shing-Hei Ho, Tucker Hermans, Alan Kuntz

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

Comments Submitted to IEEE Transactions on Robotics (T-RO). 20 pages, 27 figures. arXiv admin note: text overlap with arXiv:2110.04685

Sim-and-Real Reinforcement Learning for Manipulation: A Consensus-based Approach

Wenxing Liu, Hanlin Niu, Wei Pan, Guido Herrmann, Joaquin Carrasco

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

Comments 7 pages, 8 figures, IEEE International Conference on Robotics and Automation (ICRA) 2023

BayesOpt: A Library for Bayesian optimization with Robotics Applications

Ruben Martinez-Cantin

专题命中 机器人操作 ：robotics(title,comments)；分类 cs.RO、cs.AI、cs.LG

Comments Robotics: Science and Systems, Workshop on Active Learning in Robotics: Exploration, Curiosity, and Interaction

Journal ref Journal of Machine Learning Research, 15(Nov), 3915-3919, 2014

Manipulation of Molecules with Electromagnetic Fields

Mikhail Lemeshko, Roman V. Krems, John M. Doyle, Sabre Kais

专题命中 机器人操作 ：manipulation(title,abstract)

Comments 853 references, 39 pages. Review article for the special issue "Manipulation of Molecules with Electromagnetic Fields", edited by M. Lemeshko, R. Krems, J. Doyle, and S. Kais. A few minor corrections are made compared to the journal version

Journal ref Molecular Physics 111, 1648 (2013)

Motion-as-Prompt: Enhancing Motion Reasoning in Multimodal Large Language Models via Motion-Guided Cross-Frame Visual Prompting

运动即提示：通过运动引导的跨帧视觉提示增强多模态大语言模型的运动推理能力

Xikai Sun, Kebin Liu, Haotian Wang, Li Liu, Xu Wang, Yunhao Liu

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

AI总结 本文针对多模态大语言模型处理视频时丢失帧间关键运动信息的问题，提出Motion-as-Prompt框架，通过标记轨迹增强视觉提示，在CLEVRER等数据集上提升GPT-5.5的运动推理准确率且不影响非运动理解

Training Fast Robot Policies with Slow Foundation Models

用慢速基础模型训练快速机器人策略

Utsav Singh, Pramit Bhattacharyya, Vinay P. Namboodiri, Amrit Singh Bedi

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

AI总结 本文提出VGRS方法，通过利用慢速基础模型训练快速机器人策略，结合LLM生成奖励与视觉分析诊断，提升机器人在复杂任务中的表现和部署效率。

Ask-to-Clarify: Resolving Instruction Ambiguity through Multi-turn Dialogue

Ask-to-Clarify: 通过多轮对话解决指令歧义

Xingyao Lin, Xinghao Zhu, Tianyi Lu, Guojin Zhong, Sicheng Xie, Hui Zhang, Xipeng Qiu, Zuxuan Wu, Yu-Gang Jiang

机构 * College of Computer Science and Artificial Intelligence, Fudan University, Shanghai, China（复旦大学计算机科学与人工智能学院） ； Shanghai Innovation Institute, Shanghai, China（上海创新研究院） ； Mechanical Systems Control Lab, UC Berkeley, California, USA（伯克利机械系统控制实验室） 纠错

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

AI总结 本文提出Ask-to-Clarify框架，通过多轮对话解决指令歧义问题，结合视觉语言模型和扩散模型，采用两阶段知识绝缘策略训练，实现多任务中更高效的协作式具身代理。

Comments Accepted by IROS 2026

DeWorldSG: Depth-Aware 3D Semantic Scene Graph Generation via World-Model Priors

DeWorldSG: 基于世界模型先验的深度感知3D语义场景图生成

Seok-Young Kim, Abdelrahman Elskhawy, Taewook Ha, Dooyoung Kim, Eunjae Shin, Benjamin Busam, Woontack Woo

机构 * Korea Advanced Institute of Science and Technology（韩国科学技术院） ； Technical University of Munich（慕尼黑工业大学） ； Munich Center for Machine Learning (MCML)（慕尼黑机器学习中心） ； La Trobe University（拉筹伯大学） 纠错

专题命中 机器人操作 ：manipulation(abstract)；world model(abstract)；robotic(abstract)；分类 cs.AI、cs.CV

AI总结 提出DeWorldSG框架，通过深度引导滤波估计实例级3D高斯分布，并利用世界模型先验聚合时空证据，生成时空鲁棒的3D语义场景图，在对象和谓词预测上达到最先进性能。

Comments 19 pages, 6 figures, ECCV 2026

AdaReP:Adaptive Re-Planning under Model Mismatch for Neural World-Model Predictive Control

AdaReP：模型失配下的自适应重规划用于神经世界模型预测控制

Yutian Cheng, Xiaojian Ma, Xianhao Wang, Min Yang, Rongpeng Su, Hangxin Liu, Xi Chen, Shuai Li, Qing Li

机构 * Shanghai Jiao Tong University（上海交通大学） ； Beijing Institute for General Artificial Intelligence (BIGAI)（北京通用人工智能研究院） ； University of Science and Technology of China（中国科学技术大学） 纠错

专题命中 机器人操作 ：manipulation(abstract)；world model(abstract)；robotic(abstract)；分类 cs.RO、cs.AI

AI总结 针对神经世界模型预测控制中重规划计算开销大的问题，提出AdaReP方法，通过在线自适应调整重规划容忍度，在保持任务性能的同时大幅减少规划器计算量。

Comments Accepted at ICANN 2026. This arXiv version contains supplementary materials and appendices that are omitted from the conference version due to space limitations

Contrastive Action-Image Pre-training for Visuomotor Control

对比动作-图像预训练用于视觉运动控制

Yuvan Sharma, Dantong Niu, Anirudh Pai, Zekai Wang, Zhuoyang Liu, Baifeng Shi, Stefano Saravalle, Boning Shao, Ruijie Zheng, Jing Wang, Konstantinos Kallidromitis, Yusuke Kato, Fabio Galasso, Yuke Zhu, Danfei Xu, Linxi "Jim" Fan, Jitendra Malik, Trevor Darrell, Roei Herzig

机构 * UC Berkeley（加州大学伯克利分校） ； NVIDIA（英伟达） ； Sapienza University of Rome（罗马大学） ； Panasonic（松下） ； ItalAI 纠错

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

AI总结 提出CAIP方法，利用大规模第一人称视频中3D手部关键点作为代理动作信号，通过对比学习统一动作-图像表示，在少量机器人数据下显著提升灵巧操作性能。

Sensitivity Shaping for Latent Modeling

潜变量建模中的灵敏度塑造

Hongzhan Yu, Chenghao Li, Ruipeng Zhang, Henrik Christensen, Sicun Gao

机构 * University of California San Diego（加利福尼亚大学圣迭戈分校） 纠错

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

AI总结 针对生成动力学模型在策略诱导的分布外（OOD）转换检测中灵敏度不足的问题，提出支持条件控制灵敏度正则化，提升对控制输入变化的局部响应，实验验证了改进的OOD检测和更安全的闭环规划。