科研实力

首页- 优德官网集团(中国)有限公司

冀晓强

中心副主任
教育配景

博士（美国哥伦比亚大学）

研究领域
智能控制系统，，，，，，，具身智能与物理人工智能，，，，，，，控制论与人工智能
电子邮件
jixiaoqiang@cuhk.edu.cn
小我私家简介

冀晓强教授在美国哥伦比亚大学获得博士学位，，，，，，，现任香港中文大学（深圳）助理教授、博士生导师，，，，，，，优德官网具身智能中心副主任，，，，，，，广东省具身智能机械人立异中心、工程手艺研究中心及工程研究中心副主任，，，，，，，中国仿真学会智能物联专委会委员，，，，，，，东盟 - 中国人工智能实验室首席科学家。。 。。。

他的研究主要集中在人工智能控制系统，，，，，，，主持多项科研及人才项目，，，，，，，包括国家自然科学基金数据科学与人工智能前沿探索课题、广东省面上、深圳市重大等项目。。 。。。至今在IEEE Transactions on Automatic Control (TAC)、Automatica、Journal of Field Robotics (JFR)、ACM T-CPS、IEEE/ASME T-Mech、T-ASE、RA-L、CDC、ICRA等顶尖国际期刊及聚会揭晓论文六十余篇，，，，，，，1本专著。。 。。。特殊是在非最小相位系统方面，，，，，，，是该领域全球规模内学习控制设计的推动者之一。。 。。。他担当包括IEEE-TAC在内的多个顶级期刊及聚会的审稿人、MECC副编辑、Robot Learning青年编委、RCAR等国际聚会领域主席，，，，，，，并于近期获得CINT优异论文奖、ISUI最佳论文奖、Wiley中国高孝顺作者奖等。。 。。。

冀教授向导的人工智能控制与决议实验室，，，，，，，是一个学科交织平台，，，，，，，需要深度融合控制论、人工智能、机械人学、高性能盘算、大数据等基础科学，，，，，，，致力于开展人工智能与智能辖档挽域的基础理论与原创性研究。。 。。。

学术著作

学术领域（最多选择3项）：

  • 人工智能与机械人
  • 盘算机工程
  • 电子工程
  • 化学
  • 数学与应用数学
  • 质料学
  • 新能源科学与工程
  • 物理

小我私家网站：

https://cnd-lab.github.io/

专著：

· Xiaoqiang Ji, Y. Chen, Y. Chen, and S. Liu. EmbodiedIntelligent Dexterous Hand Manipulation (in Chinese), PHEI 电子工业出书社. 

Research Paper: (*Correspondence author)

  1. Xiaoqiang Ji*, Y. Dou, S. Zhu and Y. Xu. Unified feedforward control framework for disturbed nonminimum phase systems: the Koopman-type inverse operator approach. IEEE Transactions on Automatic Control, vol. 71, no. 7, pp. 4858-4864, July 2026.
  2. Z. Lin, Z.Wei, Y.Zhong, N. Ding Y.Zhao and Xiaoqiang Ji*. ALICE: Autonomous lifelong intelligence framework for cross-embodiment via continuous internal states feedback mechanism. Future Generation Computer Systems, vol 186, Jan. 2027, 108730.
  3. H.Yu, S.Zhu, Z.Sun and Xiaoqiang Ji*. Online stable inversion of non-minimum phase systems with guaranteed stability via terminal-constrained MPC. IEEE 65th Conference on Decision and Control (CDC), 2026, accepted.
  4. S. Zhu, Xiaoqiang Ji*, R. Longman, and Y. Xu. Presicion tracking for non-minimum phase LPTV systems via a lifted time stable inversion. IEEE Transactions on Automatic Control, 10.1109, pp. 1-8, 2025.
  5. H.Wan, Y.Zhang, J.Wang, D.Wu, M.Li, X.Chen, Y.Deng, Y.Huang, Z.Sun, L. Zhang and Xiaoqiang Ji*. Toward universal embodied planning in scalable heterogeneous collaboration and control, Journal of Field Robotics (JFR), 1556-4959, 2025.
  6. Xiaoqiang Ji*, S. Zhu, Y. Xu, and R. Longman. Lifted time stable inversion based feedforward control for linear non-minimum phase systems, Automatica, vol. 171, pp. 111979, 2025.
  7. H.Wan, J.Cheng, Y.Deng, D.Wu, Y.Chen, Z.Lin, J.Liu, J.Yu and Xiaoqiang Ji*. Towards physics aware embodied control with grapth based object-centric learning, ACM Transactions on Cyber-Physical Systems, Sep 2025.
  8. H.Wan, Y.Chen, Y.Deng, Z.Wei, D.Li, Z.Lin, D.Wu, J.Cheng, and Xiaoqiang Ji*. EmbodiedAgent: A scalable hierarchical approach to overcome practical challenge in multi-robot control, 2025 IEEE/RSJ Internaitonal Conference on Intelligent Robots and Systems (IROS), accepted, 2025.
  9. S.Zhu, Xiaoqiang Ji*, R. Longman, and Y. Xu. Lifted time stable inversion based high precision feedforward control for non-minimum phase systems, IEEE 63rd Conference on Decision and Control (CDC), December 16-19, 2024.
  10. Xiaoqiang Ji, X.Zhang, S.Zhu, F.Deng and B.Zhu. Data-driven adaptive consensus control for heterogeneous nonlinear multi-agent systems using online reinforcement learning, Neurocomputing, Vol. 596, 127818, 2024.
  11. J.Li, C.Zhao, Xiaoqiang Ji*, M.Li, G.Lu, Y.Xu, and D.Zhang. Multi-view instance attention fusion network for classification, Information Fusion, Vol. 101, 101974, 2024.
  12. K.Xue, Xiaoqiang Ji*, D.Qu, Y.Peng and H.Qian*. Oboat: An agile omnidirectional robotic platform for unmanned surface vehicle tasks, IEEE/ASME Transactions on Mechatronics (T-Mech), vol.28, no.5, pp.2413-2424, Oct. 2023.
  13. S. Zhu, Y. Wang, B. Zhu, and Xiaoqiang Ji*. Tracking error boundary of novel stable inversion based feedforward control for a class of non-minimum phase systems, CINT, vol 1714, Springer, 2023. [ Excellent Paper Award]
  14. K.Xue, C.Ren, Xiaoqiang Ji*, and H. Qian*. Design, modeling and implementation of a projectile-based mechanism for USVs charging tacks, IEEE Robotics and Automation Letters (RA-L),vol. 8, no. 1, pp. 360-367, Jan. 2023.
  15. K.Xue, J. Liu, N. Xiao, Xiaoqiang Ji*, and H. Qian*. A bio-inspired simultaneous surface and underwater risk assessment method based on stereo vision for USVs in nearshore clean waters, IEEE Robotics and Automation Letters (RA-L), 2022.
  16. Xiaoqiang Ji*, and R. Longman. Two new stable inverses of discrete time systems, Astrodynamics Specialist Conference, AAS/American Institute of Aeronautics and Astronautics (AIAA), vol. 171(1), 2020, pp. 4137-4143.