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  • 个人概况
  • 科学研究
  • 教学信息
  • 社会职务
  • 荣誉及奖励
  • 招生信息
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纪赜

职称：

学科： 控制科学与工程,机械工程,计算机科学与技术

教学部门：

办公地址： 58号楼431

通讯地址：

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个人简介

纪赜：博士，教授，博士生导师，国家高层次人才，兼英国卡迪夫大学荣誉教授，英国皇家工程院工业会士（RAEng Industrial Fellow），旅英中国自动化及计算机协会（CASCUK）委员，IEEE高级会员(SMIEEE)，英国高等教育学院会士（Fellow of HEA）,以及英国皇家导航学会准会士（Associate Fellow of RIN）。同时担任国际学术期刊编委，包括IEEE Transactions on Mechatronics（IEEE T-Mech）、IMechE Proceedings（Part C：JMES)等。曾担任卡迪夫大学机器人和自主系统学科带头人，欧洲区域发展基金/威尔士欧洲基金（ERDF/WEFO）资助的人工智能、机器人与人机系统研究中心（IROHMS）共同负责人，及多个国际会议委员，包括IEEE RO-MAN、IEEE ICAC、BMVC等。于2007年在卡迪夫大学获得博士学位。近年来，作为项目负责人或共同负责人，承担了多项由英国工程与自然科学研究基金（EPSRC）、英国生物技术与生物科学研究基金（BBSRC）、英国皇家工程院、欧盟H2020、英国皇家学会、欧盟ERDF/WEFO以及工业界资助的科研项目。同时具有丰富的产业界经验，曾在Dyson、ASV和Lenovo等企业从事核心研发工作。发表文章190余篇，其中包括IEEE T-RO,IJRR,IEEE TNNLS, IEEE T-ASE,IEEE RAL, ICRA/IROS等国际期刊和会议。研究方向涵盖机器人与自主系统领域，包括具身智能、自主导航、机器手臂操控、强化学习、可微分物理/物理引导机器人学习、深度学习、同步定位与建图（SLAM）、机器人感知、触觉传感，以及智能制造应用。

Professional memberships

  • Senior Member of IEEE 高级会员

  • Associate Fellow of the Royal Institute of Navigation 英国皇家导航学会准会士

  • Member of The Institution of Engineering and Technology (IET) 

  • Member of the British Machine Vision Association (BMVA)

  • Fellow of The Higher Education Academy (FHEA)

  • Member of The Society of Research Software Engineering (until 2023)

Committees and reviewing

  • IEEE ICAC conference (2026) 程序主席 

  • Associate Editor for the IEEE RO-MAN 2026 Conference 副主编

  • IEEE ICAC conference in Loughborough (2025) 程序共同主席及委员

  • Technical Editor of the IEEE/ASME Transactions on Mechatronics (since Dec 2024) 副主编

  • Committee member for the IEEE RO-MAN 2024 Conference 编委会成员，Workshop主席

  • External PhD examiner for Swansea University, University of Manchester, and Xi'an Jiaotong-Liverpool University (China) (2025)

  • External PhD examiner for the University of Manchester, University of Hertfordshire, University of Gloucester, and University of Birmingham (2024)

  • External PhD examiner for the University of Manchester (2023)

  • External PhD examiner for the University of Birmingham (2022)

  • External PhD examiner for University College, London (2021)

  • Associate Editor of Robotics and Autonomous Systems section of the “Proceedings of the Institution of Mechanical Engineers, Part C (JMES)” (since 2021) 副主编

  • Technical Program Committee of the IEEE ISRIMT 2021 (The 3rd international symposium on Robotics and Intelligent Manufacturing Technology) conference organised by Hohai University, China.

  • Regional chair and session chair of IEEE ICCSE 2021

  • Associate Editor of IEEE Access (since 2020) 

  • International Programme Committee of KES 2021 conference

  • Committee member for the BMVC2019 (Sponsorship Chair)

  • Reviewer of several international journals and conferences, including IEEE Transactions on Robotics, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Neural Networks and Learning Systems, IEEE Robotics and Automation Letters (RAL), Journal of Field Robotics, Robotics and Computer-Integrated Manufacturing, Measurement Science and Technology, several major conferences, including ICRA, IROS, CASE etc

奖励和荣誉

  • Teaching of the Year Award 2024 (EN4110 Mechatronics Design) 2024年年度优秀教学奖（卡迪夫大学，课程：机电一体化设计）

  • Our paper PnuTac: Vision based pneumatic tactile sensor for slip detection and object classification was awarded the Best Conference Paper at the 29th IEEE International Conference on Mechatronics and Machine Vision in Practice M2VIP 2023 at Queenstown, New Zealand. 最佳论文奖

  • Our paper RPS-Net: Indoor Scene Point Cloud Completion using RBF-Point Sparse Convolution was awarded The Terry Hewitt Prize: Best Student Technical Paper at the CGVC 2023 conference. https://lnkd.in/dsWQYMHJ 最佳学生论文

  • The paper titled “Anisotropic GPMP2: A Fast Continuous-Time Gaussian Processes Based Motion Planner for Unmanned Surface Vehicles in Environments With Ocean Currents”, has been awarded IEEE Transactions on Automation Science and Engineering Best New Application Paper Award, as the single awardee in the 2023 round (https://www.ieee-ras.org/awards-recognition/publications-awards?view=article&id=67:the-best-new-application-paper-award&catid=70:publication-awards) 最佳新应用论文奖

  • Won the best Exhibit for the EU FP6 project TAI-CHI Tangible Acoustic Interface for Human Computer Interaction in EC IST Exhibition, Helsinki, Finland, 2006 欧盟第六框架项目最佳展示

  • Best paper award, TAROS, Bristol, 2018 最佳论文奖

  • Second Prize in the International Marine Vehicle Design and Construction Invitational Contest 2019, Harbin, China 2019年国际海洋航行器设计与建造邀请赛二等奖（中国哈尔滨）

个人资料

  • 姓名： 纪赜
  • 性别： 男
  • 学位：
  • 出生年月：
  • 学历：
  • 毕业院校： 卡迪夫大学

教育经历

  • 1997年-2001年,吉林大学,电子工程,学士
  • 2002年-2003年,伯明翰大学（英国）,计算机科学,硕士
  • 2003年-2007年,卡迪夫大学（英国）,机械电子工程,博士

工作经历

  • 2026年5月-,开云电竞网,教授
  • 2026年6月-,卡迪夫大学（英国）,荣誉教授 (Honorary Professor)
  • 2016年9月-2026年5月,卡迪夫大学（英国）,机器人学科负责人，实验室负责人，MSc in Robotics and Intelligent Systems 负责人,Reader (2024), Associate Professor (2020), Assitant Professor (2016)
  • 2014年6月-2016年8月,ASV Global Ltd (https://www.l3harris.com/all-capabilities/asview-control-system),无人系统核心研发 (Core Researcher)
  • 2013年3月-2014年6月,戴森（Dyson),机器人研发

研究领域

研究方向聚焦复杂非结构化环境中的机器人与自主系统，研究包括地面移动机器人、水面/水下自主无人系统、工业机械臂等智能装备的感知、学习、决策与控制方法。主要内容包括具身智能、自主导航、机器人操作、强化学习、可微分物理与物理引导机器人学习、深度学习、SLAM、机器人感知、触觉传感及多传感器融合等。研究成果面向智能制造、自主救援、水利与基础设施无人运维、环境监测等应用场景，支撑机器人在复杂、未知和动态环境中的可靠自主作业。


Publications: 

  • You, Y. , Ji, Z. and Wei, C. 2026. Towards human-centric manufacturing: Task planning under uncertainties in human–robot collaborative assembly.Robotics and Computer-Integrated Manufacturing 101 103293. (10.1016/j.rcim.2026.103293)

  • Wei, C. et al., 2026. AMFNet: aggregated multi-level feature interaction fusion network for defect detection on steel surfaces.Journal of Intelligent Manufacturing 37 , pp.1615-1632. (10.1007/s10845-025-02613-5)

  • Wei, M. et al. 2026. A physics-informed demonstration-guided learning framework for granular material manipulation.IEEE Transactions on Neural Networks and Learning Systems 37 (4), pp.1590-1604. (10.1109/tnnls.2025.3622482)

  • Jian, S. et al., 2026. CRAR: coherent risk-aware regulation for DRL-based mapless robot navigation.IEEE Transactions on Vehicular Technology (10.1109/tvt.2026.3663705)

  • Zhu, M. et al., 2026. Powder spreading anomaly detection in laser powder bed fusion additive manufacturing using the full-scale feature adaptive UNet++ network.Journal of Manufacturing Processes 157 , pp.1274-1289. (10.1016/j.jmapro.2025.12.051)

  • Gao, Y. et al. 2025. Deep reinforcement learning for localisability-aware mapless navigation.IET Cyber-Systems and Robotics 7 (1) e70018. (10.1049/csy2.70018)

  • Yan, J. et al., 2025. Mrtic Det: A structure aware detection framework for thinning stage fruit in non structured orchards.Computers and Electronics in Agriculture 239 (Part A) 110940. (10.1016/j.compag.2025.110940)

  • Lakhani, T. et al., 2025. Methodologies for diffusion model interpretability: A systematic review.IEEE Transactions on Artificial Intelligence (10.1109/TAI.2025.3648376)

  • Liu, W. et al., 2025. Safe learning for multi-robot mapless exploration.IEEE Transactions on Vehicular Technology 74 (11), pp.16947-16961. (10.1109/TVT.2025.3581872)

  • Liu, Z. et al., 2025. Effects of scanning strategies and heat treatments on the microstructure and mechanical performance of a Ni-based superalloy fabricated by laser powder bed fusion.Optics & Laser Technology 189 113127. (10.1016/j.optlastec.2025.113127)

  • Yang, X. , Ji, Z. and Lai, Y. 2025. Differentiable physics-based system identification for robotic manipulation of elastoplastic materials.International Journal of Robotics Research 44 (13), pp.2126-2155. (10.1177/02783649251334661)

  • Wen, Q. et al. 2025. Skeleton-guided rolling-contact kinematics for arbitrary point clouds via locally controllable parameterized curve fitting. Presented at: IEEE/RSJ International Conference on Intelligent Robots and Systems Hangzhou, China 19–25 October 2025. 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. , pp.13127-13132. (10.1109/IROS60139.2025.11246194)

  • Yang, X. et al. 2025. DDBot: differentiable physics-based digging robot for unknown granular materials.IEEE Transactions on Robotics 42 , pp.152-169. (10.1109/TRO.2025.3636815)

  • Tian, S. et al., 2025. Preference-based deep reinforcement learning with automatic curriculum learning for map-free UGV navigation in factory-like environments.Engineering Science and Technology, an International Journal 70 102147. (10.1016/j.jestch.2025.102147)

  • You, Y. and Ji, Z. 2025. Towards human-centric manufacturing: A reinforcement learning method for physical exertion alleviation in HRCA.Robotics and Computer-Integrated Manufacturing 95 103025. (10.1016/j.rcim.2025.103025)

  • You, Y. , Cai, B. and Ji, Z. 2025. An offline reinforcement learning-based framework for proactive robot assistance in assembly task.Computers & Industrial Engineering 208 111313. (10.1016/j.cie.2025.111313)

  • Wei, M. et al. 2025. Celebi’s choice: causality-guided skill optimisation for granular manipulation via differentiable simulation. Presented at: IROS 2025 Hangzhou, China 19-25 October 2025. Proceedings of the 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025). IEEE.

  • Wei, M. et al., 2025. Celebi’s choice: causality-guided skill optimisation for granular manipulation via differentiable simulation. Presented at: 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Hangzhou, China 19-25 October 2025. 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. , pp.15845-15852. (10.1109/iros60139.2025.11247432)

  • Wen, Q. et al. 2025. Skeleton-guided rolling-contact kinematics for arbitrary point clouds via locally controllable parameterized curve fitting. Presented at: 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Hangzhou, China 19-25 October 2025. 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. , pp.13127-13132. (10.1109/iros60139.2025.11246194)

  • Liu, S. et al. 2025. Evaluating and mitigating GNSS NLOS effects for autonomous navigation in urban environments. Presented at: The 30th International Conference on Automation and Computing (ICAC 2025) Loughborough, UK 27-29 August 2025. Proceedings of the 30th International Conference on Automation and Computing. IEEE. , pp.1-6. (10.1109/ICAC65379.2025.11196430)

  • Ning, Z. , Pullin, R. and Ji, Z. 2025. GBP-LOAM: Lidar odometry and mapping using Gaussian Belief Propagation. Presented at: The 30th International Conference on Automation and Computing (ICAC 2025) Loughborough, UK 27-29 August 2025. Proceedings of the 30th International Conference on Automation and Computing. IEEE. (10.1109/ICAC65379.2025.11196354)

  • Alsudays, N. et al. 2025. Multi-class part parsing based on multi-class boundaries. Presented at: IEEE International Conference on Image Processing Anchorage, AK, USA 14-17 September 2025. 2025 IEEE International Conference on Image Processing (ICIP). IEEE. , pp.2498-2503. (10.1109/icip55913.2025.11084502)

  • Huang, W. et al., 2025. ITCNet: long sequence time-series forecasting of underwater excavation states for cutter suction dredgers.Maritime Engineering 178 (3), pp.61-79. (10.1680/jmaen.25.00007)

  • Wang, J. et al., 2025. Cognitive UAV tracking: Leveraging DRL and hybrid curriculum learning for target reacquisition.IEEE Transactions on Automation Science and Engineering 22 , pp.16547-16559. (10.1109/TASE.2025.3577984)

  • Xu, M. et al. 2025. RGB-D video mirror detection. Presented at: WACV 2025 Tucson, Arizona 28 February - 04 March 2025. 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE. , pp.9640-9649. (10.1109/WACV61041.2025.00933)

  • Wu, X. et al., 2025. Risk-aware deep reinforcement learning for mapless navigation of unmanned surface vehicles in uncertain and congested environments.Ocean Engineering 322 120446. (10.1016/j.oceaneng.2025.120446)

  • You, Y. et al. 2025. A human digital twin approach for fatigue-aware task planning in human-robot collaborative assembly.Computers & Industrial Engineering 200 110774. (10.1016/j.cie.2024.110774)

  • Munguia-Galeano, F. , Tan, A. and Ji, Z. 2025. Deep reinforcement learning with explicit context representation.IEEE Transactions on Neural Networks and Learning Systems 36 (1), pp.419-432. (10.1109/TNNLS.2023.3325633)

  • Wei, C. et al., 2025. TDAD: Self-supervised industrial anomaly detection with a two-stage diffusion model.Computers in Industry 164 104192. (10.1016/j.compind.2024.104192)

  • Jia, W. et al., 2025. FBSM: Foveabox-based boundary-aware segmentation method for green apples in natural orchards.Expert Systems with Applications 260 125426. (10.1016/j.eswa.2024.125426)

  • Cai, B. , Wei, C. and Ji, Z. 2025. Deep reinforcement learning with multiple unrelated rewards for AGV mapless navigation.IEEE Transactions on Automation Science and Engineering 22 , pp.4323-4340. (10.1109/TASE.2024.3410162)

  • Wei, M. et al. 2025. Differentiable skill optimisation for powder manipulation in laboratory automation. Presented at: IEEE/RSJ International Conference on Intelligent Robots and Systems Hangzhou, China 19-25 October 2025.

  • Gao, Y. et al. 2024. Mapless navigation via Hierarchical Reinforcement Learning with memory-decaying novelty. Robotics and Autonomous Systems 182 104815. (10.1016/j.robot.2024.104815)

  • McGhan, F. , Ji, Z. and Grech, R. 2024. Localisation-aware fine-tuning for realistic PointGoal navigation. Presented at: 25th Towards Autonomous Robotic Systems (TAROS) Conference London, UK 21-23 August 2024. Published in: Huda, M. N. and Wang, M. eds. Proceedings Towards Autonomous Robotic Systems: 25th Annual Conference TAROS 2024. Vol. 1.Heidelberg: Springer-Verlag Berlin.

  • Wen, Q. et al. 2024. What criteria define an ideal skeletonisation reference in object point clouds?. Presented at: TAROS 2024: 25th Annual Conference London, UK 21-23 August 2024. Published in: Huda, M. N. , Wang, M. and Kalganova, T. eds. Towards Autonomous Robotic Systems. 25th Annual Conference, TAROS 2024, London, UK, August 21–23, 2024, Proceedings, Part I. Lecture Notes in Computer Science Springer. , pp.422-433. (10.1007/978-3-031-72059-8_35)

  • Wu, Z. et al., 2024. SAITI-DCGAN: Self-attention based deep convolutional generative adversarial networks for data augmentation of infrared thermal images. Applied Sciences 14 (23) 11391. (10.3390/app142311391)

  • Tian, S. et al., 2024. FGRL: Federated growing reinforcement learning for resilient mapless navigation in unfamiliar environments. Applied Sciences 14 (23) 11336. (10.3390/app142311336)

  • Jia, W. et al., 2024. FCOS-EAM: An accurate segmentation method for overlapping green fruits. Computers and Electronics in Agriculture 226 109392. (10.1016/j.compag.2024.109392)

  • Wang, C. et al., 2024. Integrated learning-based framework for autonomous quadrotor UAV landing on a collaborative moving UGV. IEEE Transactions on Vehicular Technology 73 (11), pp.16092-16107. (10.1109/TVT.2024.3425755)

  • Gao, Y. et al. 2024. Target tracking for quadrotors based on deep reinforcement learning. Presented at: 30th IEEE International Conference on Mechatronics and Machine Vision in Practice Leeds, UK 3-5 October 2024. 30th International Conference on Mechatronics and Machine Vision in Practice (M2VIP). IEEE. (10.1109/M2VIP62491.2024.10746058)

  • Gao, Y. et al. 2024. Efficient hierarchical reinforcement learning for mapless navigation with predictive neighbouring space scoring. IEEE Transactions on Automation Science and Engineering 21 (4), pp.5457-5472. (10.1109/TASE.2023.3312237)

  • Tong, Y. , Zhang, Q. and Ji, Z. 2024. Evaluating human-robot interaction user experiences in manufacturing: An initial assessment framework. Presented at: 2024 IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) Pasadena, CA, USA 26 - 30 Aug 2024. 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN). IEEE. , pp.244-249. (10.1109/RO-MAN60168.2024.10731394)

  • Wei, C. et al., 2024. Transformer-based multi-scale reconstruction network for defect detection of infrared images. IEEE Transactions on Instrumentation and Measurement 73 5037414. (10.1109/TIM.2024.3481573)

  • Lin, F. et al. 2024. VO-safe reinforcement learning for drone navigation. Presented at: IEEE International Conference on Robotics and Automation (ICRA) Yokohama, Japan 13-17 May 2024. Proceedings of International Conference on Robotics and Automation (ICRA). IEEE. , pp.279-285. (10.1109/ICRA57147.2024.10611487)

  • You, Y. , Liu, Y. and Ji, Z. 2024. Human digital twin for real-time physical fatigue estimation in human-robot collaboration. Presented at: The 25th IEEE International Conference on Industrial Technology Bristol, UK 25-27 March 2024. Proceedings of the 25th IEEE International Conference on Industrial Technology. IEEE. , pp.1-6. (10.1109/ICIT58233.2024.10541029)

  • Wen, Q. et al. 2024. GLSkeleton: A geometric Laplacian-based skeletonisation framework for object point clouds. IEEE Robotics and Automation Letters 9 (5), pp.4615-4622. (10.1109/LRA.2024.3384128)

  • Yang, X. et al. 2024. GAM: General Affordance-based Manipulation for contact-rich object disentangling tasks. Neurocomputing 578 127386. (10.1016/j.neucom.2024.127386)

  • Munguia‐Galeano, F. et al., 2024. Learning to bag with a simulation‐free reinforcement learning framework for robots. IET Cyber-Systems and Robotics 6 (2) e12113. (10.1049/csy2.12113)

  • Sun, J. et al. 2024. RSMPNet: Relationship guided semantic map prediction. Presented at: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Hawaii, USA 4-8 January 2024. Proceedings of the 2024 IEEE/CVF Winter Conference on Applications of Computer Vision. IEEE. , pp.302-311. (10.1109/WACV57701.2024.00037)

  • Wang, T. et al. 2024. Sparse convolutional networks for surface reconstruction from noisy point clouds. Presented at: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Hawaii, USA 4-8 January 2024. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. IEEE. , pp.3200-3209. (10.1109/WACV57701.2024.00318)

  • Wei, C. et al., 2024. Fast autonomous exploration with sparse topological graphs in large-scale environments. International Journal of Intelligent Robotics and Applications 8 , pp.111-121. (10.1007/s41315-023-00318-7)

  • Rayamane, P. et al. 2024. PnuTac: A vision-based pneumatic tactile sensor for slip detection and object classification. Presented at: 29th IEEE International Conference On Mechatronics And Machine Vision In Practice 21 - 24 November 2023. Proceedings 29th International Conference on Mechatronics and Machine Vision in Practice (M2VIP). IEEE. (10.1109/M2VIP58386.2023.10413420)

  • Herbert, P. et al. 2024. Benchmarking visual SLAM methods in mirror environments. Computational Visual Media 10 (2), pp.215-241. (10.1007/s41095-022-0329-x)

  • Chen, Z. et al. 2024. SCaR: Refining skill chaining for long-horizon robotic manipulation via dual regularization. Presented at: NeurIPS 2024 Vancouver, Canada 10-15 December 2024. Vol. 37., pp.111679-111714. (10.52202/079017-3547)

  • Sun, J. et al. 2024. A survey of object goal navigation. IEEE Transactions on Automation Science and Engineering 22 , pp.2292-2308. (10.1109/TASE.2024.3378010)

科研项目

论文

科技成果

开授课程

教学成果

教学资源

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荣誉及奖励

招生信息

热忱欢迎各位同学咨询报考研究生，每年招收博士2-3名，学术型硕士2-3名，专业学位型硕士2-3名。

特别欢迎对具身智能、机器人、控制、无人系统、智能制造等领域感兴趣的同学，尤其具有一定软硬件编程经验的同学，优先考虑！ 

请发送简历到邮箱：z.ji@hhu.edu.cn
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