阚震，中国科学技术大学自动化系教授，博士生导师，国家海外高层次（青年）人才计划入选者，IEEE Senior Member，中国自动化学会控制理论专委会委员，中国自动化学会机器人智能专委会委员，以及 IEEE 控制系统协会下多个技术委员会委员。2011年12月博士毕业于美国佛罗里达大学（University of Florida）, 2012年至2016年在美国佛罗里达大学等高等研究所从事博士后研究，2016年至2019年在美国爱荷华大学（The University of Iowa）机械系担任（tenure-track）助理教授。长期从事机器人智能控制、多机器人协作等方面的研究, 先后主持国家自然科学基金面上项目，国家重点研发计划课题，国家自然科学基金联合基金集成项目课题等，相关研究成果在控制理论旗舰期刊 IEEE Transactions on Automatic Control、Automatica 和机器人技术旗舰期刊 The International Journal of Robotics Research、IEEE Transactions on Robotics 等国际权威期刊及会议上发表学术论文 120 余篇, 申请/授权国家发明专利 10 余项。现担任控制理论旗舰期刊 IEEE TAC，IEEE TNNLS 编委，控制理论和机器人顶会IEEE ICRA，IEEE CDC，IEEE ACC等编委。 工作经历 2012-2016 美国佛罗里达大学，博士后 2016-2019 美国爱荷华大学（University of Iowa），（轨道制）助理教授 2019-至今 中国科学技术大学自动化系，教授 奖励与荣誉 IEEE IROS 四足机器人挑战赛遥操作赛道，冠军，2024 IEEE ICAIS & ISAS (自主无人系统国际会议) 最佳论文，2024 CVPR 恶劣条件下目标检测 (Track: Object Detection In Haze), 冠军，2023 IEEE ICRA 国际机器人挑战赛 (Track：The RoboDepth Challenge), 亚军， 2023 IEEE International Conference on Advanced Robotics and Mechatronics 最佳论文提名奖，2022 国家级（青年）人才计划项目，2019 美国空军夏季学术奖，2018 美国爱荷华大学Old Gold学术奖，2017

机器人智能控制与决策，人机交互与协作、非线性控制理论，多机器人协同控制

IEEE Transactions on Automatic Control 编委 (Associate Editor) IEEE Transactions on Neural Networks and Learning Systems 编委 (Associate Editor) IEEE 控制系统协会会议编委会编委 IEEE ACC, IEEE CDC，IEEE ICRA 等自动化控制与机器人领域的权威国际会议编委 IEEE 控制系统协会下Intelligent Control，Nonlinear Systems and Control，Networks and Communications等多个技术委员会委员 中国自动化学会控制理论专委会委员 中国自动化学会机器人智能专委会委员 中国指挥与控制学会智能控制与系统专委会委员 中国自动化学会非线性系统与控制学组委员

Hao Wang and Zhen Kan, "Safe policy optimization for Reinforcement Learning in Robotics", Encyclopedia of Systems and Control Engineering, 2024. Zhen Kan, John M. Shea, and Warren E. Dixon, "Navigation Function Based Decentralized Control of A Multi-agent System with Network Connectivity Constraints", in Examining Robustness and Vulnerability of Critical Infrastructure Networks, Edited by S. Butenko, E. L. Pasiliao, V. Shylo, NATO Science for Peace and Security Series - D:Information and Communication Security, Vol 35, pp. 104-119, 2014. A. Dani, Z. Kan, N. Fischer, and W. E. Dixon, "Real-time Structure and Motion Estimation in Dynamic Scenes using a Single Camera," in Robotic Vision: Technologies for Machine Learning and Vision Applications,Edited by Jose Garcia and Miguel Cazorla, IGI Global Publication, pp. 173-191, July 12, 2012. M. Cai, Z. Zhou, L. Li, S. Xiao, and Z. Kan*, "Reinforcement Learning with Soft Temporal Logic Constraints Using Limit-Deterministic Generalized Buchi Automaton," Journal of Automation and Intelligence, to appear Z. Chen and Z. Kan*, "Real-Time Reactive Task Allocation and Planning of Large Heterogeneous Multi-Robot Systems with Temporal Logic Specifications," International Journal of Robotics Research, to appear Z. Chen, M. Cai, Z. Zhou, L. Li, and Z. Kan*, "Fast Motion Planning in Dynamic Environments with Extended Predicate-based Temporal Logic," IEEE Transactions on Automation Science and Engineering, to appear H. Wang, J. Qin, and Z. Kan*, "Shielded Planning Guided Data-Efficient and Safe Reinforcement Learning," IEEE Transactions on Neural Networks and Learning Systems, to appear C. Zhang, S. Lin, H. Wang, Z. Chen, S. Wang, and Z. Kan*, "Data-Driven Safe Policy Optimization for Black-Box Dynamical Systems with Temporal Logic Specifications," IEEE Transactions on Neural Networks and Learning Systems, to appear Z. Zhou, S. Wang, Z. Chen, M. Cai, H. Wang, Z. Li, and Z. Kan*, "Local Observation Based Reactive Temporal Logic Planning of Human-Robot Systems," IEEE Transactions on Automation Science and Engineering, to appear Z. Zhou, S. Wang, Z. Chen, M. Cai, and Z. Kan*, "A Novel Framework for Improved Grasping of Thin and Stacked Objects," IEEE Transactions on Artificial Intelligence, Vol. 5, No. 6, pp. 3134-3145 (2024) H. Wang, H. Zhang, L. Li, Z. Kan*, and Y. Song, "Task-Driven Reinforcement Learning with Action Primitives for Long-Horizon Manipulation Skills," IEEE Transactions on Cybernetics, Vol. 54, No. 8, pp. 4513-4526 (2024) M. Pi, Z. Li, Q. Li, Y. Kang, Z. Kan, and R. Song, "Human-in-the-loop Control of Robotic Leg Prostheses with Sensory Feedback," IEEE/ASME Transactions on Mechatronics, Vol. 29, No. 3, pp. 1844-1855 (2024) Z. Chen, L. Li, and Z. Kan*, "Distributed Task Allocation and Planning under Temporal Logic and Communication Constraints," IEEE Robotics and Automation Letters, Vol. 9, No. 7, pp. 6536-6543 (2024) Z. Chen, Z. Zhou, S. Wang, J. Li, and Z. Kan*, "Fast Temporal Logic Mission Planning of Multiple Robots: A Planning Decision Tree Approach," IEEE Robotics and Automation Letters, Vol. 9, No. 7, pp. 6146-6153 (2024) P. Huang, Z. Li, M. Zhou, and Z. Kan, "Divergent Component of Motion Planning and Adaptive Repetitive Control for Wearable Walking Exoskeletons," IEEE Transactions on Cybernetics, Vol. 54, No. 4, pp. 2244-2256 (2024) Z. Zhou, Z. Chen, M. Cai, Z. Li, Z. Kan*, and C. Su, "Vision-Based Reactive Temporal Logic Motion Planning for Quadruped Robots in Unstructured Dynamic Environments," IEEE Transactions on Industrial Electronics, Vol. 71, No. 6, pp. 5983-5992 (2024) S. Wang, Z. Zhou, B. Li, Z. Li, and Z. Kan*, "Multi-modal Interaction with Transformers: Bridging Robots and Human with Natural Language," Robotica, Vol. 42, No. 2, pp. 415-434 (2024) H. Zhang, H. Wang, and Z. Kan*, "Exploiting Transformer in Sparse Reward Reinforcement Learning for Interpretable Temporal Logic Motion Planning," IEEE Robotics and Automation Letters, Vol. 8, No. 8, pp. 4831-4838 (2023) L. Li, Z. Chen, H. Wang, and Z. Kan*, "Fast Task Allocation of Heterogeneous Robots with Temporal Logic and Inter-Task Constraints," IEEE Robotics and Automation Letters, Vol. 8, No. 8, pp. 4991-4998 (2023) 李保罗，蔡明钰，阚震*, "线性时序逻辑引导的安全强化学习," 《控制与决策》， Vol. 38, No. 7, pp. 1835-1844 (2023) S. Wang, R. Yang, B. Li, and Z. Kan*, "Structural Parameter Space Exploration for Reinforcement Learning via a Matrix Variate Distribution," IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 7, No. 4, pp. 1025-1035 (2023) C. Zhong, S. Zhao, Y. Liu, Z. Li, Z. Kan, and Y. Feng "A flexible wearable e-skin sensing system for robotic teleoperation," Robotica, Vol. 41, No. 3, pp. 1025-1038 (2023) G. Li, J. Xu, Z. Li, C. Chen, and Z. Kan, "Sensing and Navigation of Wearable Assistance Cognitive Systems for the Visually Impaired," IEEE Transactions on Cognitive and Developmental Systems, Vol. 15, No. 1, pp. 122-133(2023) M. Cai, S. Xiao, J. Li, and Z. Kan, "Safe Reinforcement Learning under Temporal Logic with Reward Design and Quantum Action Selection," Scientific Reports, Vol. 13, No. 1, pp. 1925 (2023) M. Cai, S. Xiao, Z. Li, and Z. Kan*, "Optimal Probabilistic Motion Planning with Potential Infeasible LTL Constraints," IEEE Transactions on Automatic Control, Vol. 68, No. 1, pp. 301-316 (2023) [Full Paper] Z. Li, G. Li, X. Wu, Z. Kan, H. Su, and Y. Liu, "Asymmetric Cooperation Control of Dual-Arm Exoskeletons Using Human Collaborative Manipulation Models," IEEE Transactions on Cybernetics, Vol. 52, No. 11, pp. 12126-12139 (2022) Z. Li, X. Li, Q. Li, H. Su, Z. Kan, and W. He, "Human-In-the-Loop Control of Soft Exosuits Using Impedance Learning on Different Terrains," IEEE Transactions on Robotics, Vol. 38, No. 5, pp. 2979-2993 (2022) H. Zhang and Z. Kan*, "Temporal Logic Guided Meta Q-Learning of Multiple Tasks," IEEE Robotics and Automation Letters, Vol. 7, No. 3, pp. 8194-8201 (2022) - Oral Presentation at IROS 2022 S. Wang, Z. Zhou, and Z. Kan*, "When Transformer Meets Robotic Grasping: Exploits Context for Efficient Grasp Detection," IEEE Robotics and Automation Letters, Vol. 7, No. 3, pp. 8170-8177 (2022) - Oral Presentation at IROS 2022 H. Gao, Z. Kan, and K. Li, "Robust Lateral Trajectory Following Control of Unmanned Vehicle Based on Model Predictive Control," IEEE/ASME Transactions on Mechatronics, Vol. 27, No. 3, pp. 1278-1287 (2022) H. Gao, F. Chen, Z. Hao, X. He, H. Su, K. Li, and Z. Kan, "Adaptive Finite-Time Trajectory Tracking Control of Autonomous Vehicles That Experience Disturbances and Actuator Saturation," IEEE Intelligent Transportation Systems Magazine, Vol. 14, No. 2, pp. 80-91 (2022) H. Gao, J. Zhu, T. Zhang, G. Xie, Z. Kan, Z. Hao, and K. Liu, "Situational Assessment for Intelligent Vehicles based on Stochastic Model and Gaussian Distributions in Typical Traffic Scenarios," IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 52, No. 3, pp. 1426-1436 (2022) G. Li, Z. Li, and Z. Kan, "Assimilation Control of a Robotic Exoskeleton for Physical Human-Robot Interaction," IEEE Robotics and Automation Letters, Vol. 7, No. 2, pp. 2977-2984 (2022) Z. Li, M. Cai, S. Xiao, and Z. Kan, "Online Motion Planning with Soft Metric Interval Temporal Logic in Unknown Dynamic Environment," IEEE Control Systems Letters, Vol. 6, pp. 2293-2298 (2022) H. Gao, F. Guo, J. Zhu, Z. Kan, and X. Zhang, "Human Motion Segmentation Based on Structure Constraint Matrix Factorization," Science China Information Sciences, Vol. 65, pp. 119103:1–119103:2 (2022) S. Meng and Z. Kan*, "Deep Reinforcement Learning Based Effective Coverage Control with Connectivity Constraints," IEEE Control Systems Letters, Vol. 6, pp. 283-288 (2022)