机器人 / 具身智能 - arXivDaily 专题

2506.07127 2025-10-31 cs.RO cs.AI 84%

Human-assisted Robotic Policy Refinement via Action Preference Optimization

Wenke Xia, Yichu Yang, Hongtao Wu, Xiao Ma, Tao Kong, Di Hu

机构 * Gaoling School of Artificial Intelligence, Renmin University of China, Beijing（中国人民大学北京校区人工智能学院）； Engineering Research Center of Next-Generation Intelligent Search（下一代智能搜索与推荐工程研究中心）； Beijing Key Laboratory of Research on Large Models（北京大型模型研究重点实验室）

专题命中机器人数据与评测：robotic(title,abstract)；manipulation(abstract)；分类 cs.RO、cs.AI

Comments Accepted By NeurIPS 2025

2510.26588 2025-10-31 cs.RO 79%

FLYINGTRUST: A Benchmark for Quadrotor Navigation Across Scenarios and Vehicles

Gang Li, Chunlei Zhai, Teng Wang, Shaun Li, Shangsong Jiang, Xiangwei Zhu

机构 * School of Electronics and Communication Enginnering, Sun Yet-sen University, Shenzhen, China（电子与通信工程学院，孙逸森大学，深圳，中国）； Tianwei Xunda (Hunan) Technology Co., Ltd., Hunan, China（天威湘电（湖南）科技有限公司，湖南，中国）

专题命中机器人数据与评测：navigation(title,abstract)；分类 cs.RO

2510.26802 2025-10-31 cs.CV cs.AI cs.CL 62%

Are Video Models Ready as Zero-Shot Reasoners? An Empirical Study with the MME-CoF Benchmark

Ziyu Guo, Xinyan Chen, Renrui Zhang, Ruichuan An, Yu Qi, Dongzhi Jiang, Xiangtai Li, Manyuan Zhang, Hongsheng Li, Pheng-Ann Heng

机构 * CUHK（香港中文大学）； IMIXR ； MMLab ； Peking University（北京大学）； Northeastern University（东北大学）

专题命中机器人数据与评测：manipulation(abstract)；分类 cs.AI、cs.CV

Comments Project Page: https://video-cof.github.io

2510.26040 2025-10-31 cs.RO cs.LG 62%

Accelerating Real-World Overtaking in F1TENTH Racing Employing Reinforcement Learning Methods

Emily Steiner, Daniel van der Spuy, Futian Zhou, Afereti Pama, Minas Liarokapis, Henry Williams

机构 * Centre for Automation and Robotic Engineering Science, The University of Auckland, New Zealand（自动化与机器人工程科学中心，奥克兰大学，新西兰）； New Dexterity research group, The University of Auckland, New Zealand（新灵活性研究组，奥克兰大学，新西兰）

专题命中机器人数据与评测：navigation(abstract)；分类 cs.RO、cs.LG

2509.06159 2025-10-31 eess.IV cs.AI cs.CV 62%

FASL-Seg: Anatomy and Tool Segmentation of Surgical Scenes

Muraam Abdel-Ghani, Mahmoud Ali, Mohamed Ali, Fatmaelzahraa Ahmed, Muhammad Arsalan, Abdulaziz Al-Ali, Shidin Balakrishnan

专题命中机器人数据与评测：robotic(abstract)；分类 cs.AI、cs.CV

Comments 8 pages, 6 figures, In Proceedings of European Conference on Artificial Intelligence (ECAI) 2025 <https://doi.org/10.3233/FAIA250908>

2510.25913 2025-10-31 cs.RO cs.SY eess.SY 57%

Risk-Aware Safety Filters with Poisson Safety Functions and Laplace Guidance Fields

Gilbert Bahati, Ryan M. Bena, Meg Wilkinson, Pol Mestres, Ryan K. Cosner, Aaron D. Ames

机构 * Department of Mechanical and Civil Engineering, Caltech（加州理工学院机械与土木工程系）； Department of Computing and Mathematical Sciences, Caltech（加州理工学院计算与数学科学系）； Department of Mechanical Engineering, Tufts University（塔夫茨大学机械工程系）

专题命中机器人数据与评测：robotic(abstract)；分类 cs.RO

2506.23292 2025-10-31 cs.CV 57%

DDL: A Large-Scale Datasets for Deepfake Detection and Localization in Diversified Real-World Scenarios

Changtao Miao, Yi Zhang, Weize Gao, Zhiya Tan, Weiwei Feng, Man Luo, Jianshu Li, Ajian Liu, Yunfeng Diao, Qi Chu, Tao Gong, Zhe Li, Weibin Yao, Joey Tianyi Zhou

机构 * AntGroup（蚂蚁集团）； Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）； Hefei University of Technology（合肥工业大学）； Anhui Province Key Laboratory of Digital Security（安徽省数字安全重点实验室）； A ⋆ STAR Centre for Frontier AI Research（A ⋆ STAR前沿人工智能研究中心）

专题命中机器人数据与评测：manipulation(abstract)；分类 cs.CV

Comments This paper is a preliminary version, with an extended and comprehensive version currently under development

2510.25993 2025-10-31 cs.LG cs.NE 57%

Efficient Online Learning with Predictive Coding Networks: Exploiting Temporal Correlations

Darius Masoum Zadeh-Jousdani, Elvin Hajizada, Eyke Hüllermeier

机构 * Institute for Informatics, University of Munich (LMU)（信息学院，慕尼黑大学（LMU））

专题命中机器人数据与评测：robotic(abstract)；分类 cs.LG

Comments Accepted at EdgeAI4R Workshop, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2025

2510.25921 2025-10-31 cs.CV cond-mat.mtrl-sci 57%

Generative Image Restoration and Super-Resolution using Physics-Informed Synthetic Data for Scanning Tunneling Microscopy

Nikola L. Kolev, Tommaso Rodani, Neil J. Curson, Taylor J. Z. Stock, Alberto Cazzaniga

机构 * London Centre for Nanotechnology, University College London, London, United Kingdom（伦敦纳米技术中心，伦敦大学学院，英国）； Department of Electronic and Electrical Engineering, University College London, London, United Kingdom（电子与电气工程系，伦敦大学学院，英国）； University of Trieste, Trieste, Italy（特里斯特大学，意大利）

专题命中机器人数据与评测：manipulation(abstract)；分类 cs.CV

2406.17345 2025-10-31 cs.CV 57%

NerfBaselines: Consistent and Reproducible Evaluation of Novel View Synthesis Methods

Jonas Kulhanek, Torsten Sattler

机构 * Czech Technical University in Prague（布拉格捷克技术大学）； Czech Institute of Informatics, Robotics and Cybernetics（捷克信息学、机器人学与自动化研究所）； Faculty of Electrical Engineering（电气工程学院）

专题命中机器人数据与评测：robotic(abstract)；分类 cs.CV

Comments NeurIPS 2025 D&B; Web: https://jkulhanek.com/nerfbaselines

1. 机器人数据与评测 10 篇