MIR第四期已于8月正式出版，12篇最新好文免费下载，其中7篇文章来自"具身智能"特约专题，欢迎阅读！
专题客座编委：
贺威 (北京科技大学, 中国 & 北京信息科技大学, 中国)
杨辰光 (利物浦大学, 英国)
程龙 (中国科学院, 中国)
王志闯 (北京科技大学, 中国)
吴荩 (香港科技大学, 中国)
Luka Peternel (代尔夫特理工大学, 荷兰)
专题 · Editorial
Editorial for Special Issue on Embodied Intelligence
Wei He, Chenguang Yang, Long Cheng, Zhichuang Wang, Jin Wu, Luka Peternel
https://link.springer.com/article/10.1007/s11633-025-1572-2
https://www.mi-research.net/article/doi/10.1007/s11633-025-1572-2
专题 · 综述
A Survey of Embodied Learning for Object-centric Robotic Manipulation
Ying Zheng, Lei Yao, Yuejiao Su, Yi Zhang, Yi Wang, Sicheng Zhao, Yiyi Zhang, Lap-Pui Chau
https://link.springer.com/article/10.1007/s11633-025-1542-8
https://www.mi-research.net/article/doi/10.1007/s11633-025-1542-8
专题 · 研究论文
Reactive Whole-body Locomotion-integrated Manipulation Based on Combined Learning and Optimization
Jianzhuang Zhao, Tao Teng, Elena De Momi, Arash Ajoudani
https://link.springer.com/article/10.1007/s11633-024-1538-9
https://www.mi-research.net/article/doi/10.1007/s11633-024-1538-9
专题 · 研究论文
GPU-accelerated Conflict-based Search for Multi-agent Embodied Intelligence
Mingkai Tang, Ren Xin, Chao Fang, Yuanhang Li, Hongji Liu, Jin Wu
https://link.springer.com/article/10.1007/s11633-025-1568-y
https://www.mi-research.net/article/doi/10.1007/s11633-025-1568-y
专题 · 研究论文
Self-supervised Vision-driven Trajectory Planning for Intelligent Robotic Deburring
Alessandra Tafuro, Martin Molinaro, Andrea Maria Zanchettin, Paolo Rocco
https://link.springer.com/article/10.1007/s11633-025-1560-6
https://www.mi-research.net/article/doi/10.1007/s11633-025-1560-6
专题 · 研究论文
Human-like Observation-inspired Universal Image Acquisition System for Complex Surfaces in Industrial Product Inspection
Tianbo Yang, Shaohu Wang, Yuchuang Tong, Menghan Zou, Xiuqin Shang, Wenzhi Ma, Zhengtao Zhang
https://link.springer.com/article/10.1007/s11633-025-1561-5
https://www.mi-research.net/article/doi/10.1007/s11633-025-1561-5
专题 · 研究论文
Online Iterative Learning Enhanced Sim-to-Real Transfer for Efficient Manipulation of Deformable Objects
Zuyan Chen, Jian-An Huang, Juha Röning, Leopoldo Angrisani, Shuai Li
https://link.springer.com/article/10.1007/s11633-025-1566-0
https://www.mi-research.net/article/doi/10.1007/s11633-025-1566-0
专题 · 研究论文
Multimodal Pretrained Knowledge for Real-world Object Navigation
Hui Yuan, Yan Huang, Naigong Yu, Dongbo Zhang, Zetao Du, Ziqi Liu, Kun Zhang
https://link.springer.com/article/10.1007/s11633-024-1537-x
https://www.mi-research.net/article/doi/10.1007/s11633-024-1537-x
研究论文
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
https://link.springer.com/article/10.1007/s11633-025-1562-4
https://www.mi-research.net/article/doi/10.1007/s11633-025-1562-4
中文导读：
清华大学朱军团队 | DPM-Solver++：用于扩散概率模型引导采样的快速求解器
研究论文
CMSL: Cross-modal Style Learning for Few-shot Image Generation
Yue Jiang, Yueming Lyu, Bo Peng, Wei Wang, Jing Dong
https://link.springer.com/article/10.1007/s11633-024-1511-7
https://www.mi-research.net/article/doi/10.1007/s11633-024-1511-7
研究论文
AICAttack: Adversarial Image Captioning Attack with Attention-based Optimization
Jiyao Li, Mingze Ni, Yifei Dong, Tianqing Zhu, Yongshun Gong, Wei Liu
https://link.springer.com/article/10.1007/s11633-024-1535-z
https://www.mi-research.net/article/doi/10.1007/s11633-024-1535-z
研究论文
AdaGPAR: Generalizable Pedestrian Attribute Recognition via Test-time Adaptation
Da Li, Zhang Zhang, Yifan Zhang, Zhen Jia, Caifeng Shan
https://link.springer.com/article/10.1007/s11633-024-1504-6
https://www.mi-research.net/article/doi/10.1007/s11633-024-1504-6
研究论文
Guided Proximal Policy Optimization with Structured Action Graph for Complex Decision-making
Yiming Yang, Dengpeng Xing, Wannian Xia, Peng Wang
https://link.springer.com/article/10.1007/s11633-024-1503-7
https://www.mi-research.net/article/doi/10.1007/s11633-024-1503-7
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关于Machine Intelligence Research
Machine Intelligence Research（简称MIR，原刊名International Journal of Automation and Computing）由中国科学院自动化研究所主办，于2022年正式出版。MIR立足国内、面向全球，着眼于服务国家战略需求，刊发机器智能领域最新原创研究性论文、综述、评论等，全面报道国际机器智能领域的基础理论和前沿创新研究成果，促进国际学术交流与学科发展，服务国家人工智能科技进步。期刊入选"中国科技期刊卓越行动计划"，已被ESCI、EI、Scopus、中国科技核心期刊、CSCD等20余家国际数据库收录，入选图像图形领域期刊分级目录-T2级知名期刊。2022年首个CiteScore分值在计算机科学、工程、数学三大领域的八个子方向排名均跻身Q1区，最佳排名挺进Top 4%，2023年CiteScore分值继续跻身Q1区。2024年获得首个影响因子(IF) 6.4，位列人工智能及自动化&控制系统两个领域JCR Q1区；2025年发布的最新影响因子达8.7，继续跻身JCR Q1区，最佳排名进入全球第6名；2025年一举进入中科院期刊分区表计算机科学二区。
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