曹政才

曹政才，男，教授/博导。教育部长江学者特聘教授，首都科技领军人才，中国机械行业教育教学名师，北京市高校课程思政教学名师，北京市课程思政教学团队负责人。

2005年博士毕业于哈尔滨工业大学，2006-2008在同济大学从事博士后研究工作，2014-2015年赴King’s College London进行学术访问，2017-2020于国家自然科学基金委工程科学二处任流动项目主任。

通信地址：北京 北三环东路15号 北京化工大学 科技大厦415

电子邮箱： caozc@buct.edu.cn

科研方向

从事智能机器人、具身智能、智能优化方面的研究工作，近五年以第一/通讯在IEEE汇刊发表50余篇，授权国家发明专利20余项、软件著作权10余项。

学术兼职

担任如下Top期刊的Associate Editor：① IEEE Transactions on Cybernetics、② IEEE Transactions on Neural Networks and Learning Systems、③ IEEE Transactions on Intelligent Transportation Systems、④ IEEE/CAA Journal of Automatica Sinica；“共融机器人基础理论与关键技术研究”重大研究计划秘书组成员，中国人工智能学会理事。

主持的在研科研项目

学生获奖

 ①全国兵棋推演大赛人机协同挑战赛全国冠军（2023、2025）、优秀算法奖（2024）、全国一等奖（2024），指导教师

 ②中国研究生机器人创新设计大赛全国总冠军（2025）、全国亚军（2023）、全国一等奖（2024），指导教师

 ③世界机器人大赛-共融机器人挑战赛 全国一等奖（2024），指导教师

 ④智能机器人大赛 康复养老类赛道-康复机器人作业任务挑战赛 第一名（2025），指导教师

科研奖

 ①中国自动化学会自然科学一等奖，2020，排1

 ②教育部自然科学二等奖，2023，排1

 ③吴文俊人工智能自然科学二等奖，2025，排1

 ④中国机械工业学会技术发明二等奖，2022，排1

教学奖

 ①中国石油和化工教育教学优秀成果特等奖，2020，排1

 ②北京市高等教育教学成果奖二等奖，2021，排1

 ③CAAI教学成果激励计划二类成果，2024，排1

 ④中国自动化学会教育教学成果奖二等奖，2022，排1

代表性论文

1. Jie Niu, Chengran Lin, Zhengcai Cao*, Mengchu Zhou*, Learning to Detect Objects Under Inclement Weather Conditions via Symmetric Localization Distillation and Adaptive Label Assignment, IEEE Transactions on Industrial Informatics, 2026, Accepted.

2. Shibo Shao, Chengran Lin, Guofeng Du, Zhengcai Cao*, Mengchu Zhou*.  DIH2H: Decomposed Imitation for Humanoid Locomotion from Human to Humanoid. IEEE Transactions on Industrial Electronics, 2026, Accepted.

3. Yiyang Sun, Mengchu Zhou*, Zhengcai Cao*, Gated-Dual-Attention-Based Full-Resolution Floor Plan Segmentation Network for Topological Semantic Mapping, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2026, 56(4): 2374-2387.

4. Zhengcai Cao, Junnian Li*, Shibo Shao, Dong Zhang, Mengchu Zhou*, Siamese Adaptive Network-Based Accurate and Robust Visual Object Tracking Algorithm for Quadrupedal Robots, IEEE Transactions on Cybernetics, 2025, 55(3): 1264-1276.

5. Chengran Lin, Zhengcai Cao*, Mengchu Zhou*, Autoencoder-Embedded Iterated Local Search for Energy-Minimized Task Schedules of Human–Cyber–Physical Systems, IEEE Transactions on Automation Science and Engineering, 2025, 22: 512-522.

6. Zhengcai Cao, Haoran Zhou, Chengran Lin*,Learning-Aided Evolutionary Algorithm for Solving Energy-Minimized Deadline-Constrained Task Scheduling Problem in Human-Cyber-Physical Systems,IEEE Transactions on Automation Science and Engineering, 2025, 22: 22729-22741.

7. Zhengcai Cao, Xinsai Lv, Chengran Lin*, Learning-Aided Iterated Local Search Algorithm for Integrated Order Batching, Picker Assignment, Batch Sequencing, and Picker Routing Problem, IEEE Transactions on Automation Science and Engineering, 2025, 22: 7421-7434.

8. Zhengcai Cao*, Ji Xia, Mengchu Zhou*, De-Confounding Feature Fusion Transformer Network for Image Captioning in Assistive Navigation Applications for the Visually Impaired, IEEE Transactions on Instrumentation and Measurement, 2025, 74: 4006112.

9. Dong Zhang, Yan Gai, Renjie Ju, Mengchu Zhou*, Zhengcai Cao*, A Cosine Similarity Based Multitarget Path Planning Algorithm for Cable-Driven Manipulators, IEEE/ASME Transactions on Mechatronics, 2025, 30(3): 2379-2388.

10. Zhengcai Cao, Chengran Lin*, Mengchu Zhou, Xiaohao Wen*, Learning-Based Genetic Algorithm to Schedule an Extended Flexible Job Shop, IEEE Transactions on Cybernetics, 2024, 54(11): 6909-6920.

11. Hongmin Mu, Gang Zhang, Zhe Ma, MengChu Zhou*, Zhengcai Cao*, Dynamic Obstacle Avoidance System Based on Rapid Instance Segmentation Network, IEEE Transactions on Intelligent Transportation Systems, 2024, 25(5): 4578-4592.

12. Yinbin Shi, Ji Xia, MengChu Zhou*, Zhengcai Cao*, A Dual-Feature-Based Adaptive Shared Transformer Network for Image Captioning, IEEE Transactions on Instrumentation and Measurement, 2024, 73: 5009613.

13. Chengran Lin, Zhengcai Cao*, Mengchu Zhou*, Learning-Based Cuckoo Search Algorithm to Schedule a Flexible Job Shop With Sequencing Flexibility,IEEE Transactions on Cybernetics, 2023, 53(10): 6663-6675.

14. Zhengcai Cao, Junnian Li, Dong Zhang*, Mengchu Zhou*, Abdullah Abusorrah, A Multi-Object Tracking Algorithm With Center-Based Feature Extraction and Occlusion Handling, IEEE Transactions on Intelligent Transportation Systems, 2023, 24(4): 4464-4473.

15. Biao Hu, Yinbin Shi, Zhengcai Cao*, MengChu Zhou*, A Hybrid Scheduling Framework for Mixed Real-time Tasks in an Automotive System with Vehicular Network, IEEE Transactions on Cloud Computing, 2023, 11(3): 2231-2244.

16. Yiyang Sun, Zhe Ma, Mengchu Zhou*, Zhengcai Cao*, A Topological Semantic Mapping Method Based on Text-based Unsupervised Image Segmentation for Assistive Indoor Navigation, IEEE Transactions on Instrumentation and Measurement, 2023, 72: 2531513.

17. Hongyu Xie, Dong Zhang, Jun Wang, Mengchu Zhou*, Zhengcai Cao*, Xiaobo Hu, Abdullah Abusorrah, Semi-Direct Multimap SLAM System for Real-Time Sparse 3-D Map Reconstruction, IEEE Transactions on Instrumentation and Measurement, 2023, 72: 4502013.

18. Hongyu Xie, Dong Zhang, Xiaobo Hu, Mengchu Zhou*, Zhengcai Cao*, Autonomous Multi-robot Navigation and Cooperative Mapping in Partially Unknown Environments, IEEE Transactions on Instrumentation and Measurement, 2023, 72: 4508712.

19. Chengran Lin, Zhengcai Cao*, Mengchu Zhou*, Learning-Based Grey Wolf Optimizer for Stochastic Flexible Job Shop Scheduling, IEEE Transactions on Automation Science and Engineering, 2023, 19(4): 3659-3671.

20. Biao Hu, Zhengcai Cao*, Mengchu Zhou*, Energy-Minimized Scheduling of Real-Time Parallel Workflows on Heterogeneous Distributed Computing Systems, IEEE Transactions on Services Computing, 2023, 15(5): 2766-2779.

研究成果