更新日期：2025年5月12日

姓 名 鹿振宇 性 别 男 出生年月 籍贯 江苏徐州市 民 族 汉族 政治面貌 中国共产党党员 最后学历 博士研究生 最后学位 工学博士 技术职称 教授 导师类别 博、硕导 行政职务 Email luzhenyu@scut.edu.cn 工作单位 自动化科学与工程学院 邮政编码 通讯地址 广州市天河区华南理工大学3号楼 单位电话

个人简介

鹿振宇，教授, 博/硕导, 国家高层次青年人才, 玛丽居里学者，曾任英国布里斯托机器人实验室永久职位高级研究员（2023-2025）。目前研究方向为机器人技能学习、遥操作和力触觉反馈操作等，获国防技术发明二等奖，发表期刊/会议论文70余篇，参与出版Springer 专著一部，获ICRA 2024 ViTac 最优海报, ICIRA最优论文提名，MCAA最优工程论文，Agri-EPI黑客马拉松大赛冠军团队等。

工作经历

2025.04 – 至今         华南理工大学，教授，博/硕导
2023.01 - 2025.01   高级研究员(永久职位)，英国布里斯托机器人实验室
2022.10 - 2022.11   访问学者，英国曼彻斯特大学
2021.07 - 2022.12   高级研究员(定期)，欧盟玛丽居里学者，英国布里斯托机器人实验室
2019.12 - 2021.06   博士后研究员(定期)，英国布里斯托机器人实验室

教育经历

2013.03 - 2019.03   西北工业大学航天学院 工学博士

研究领域

机器人技能学习、遥操作和力触觉反馈操作

发表论文

部分论文：
1. Z. Lu, N. Wang, W. Si and C. Yang, "Distributed Observer-Based Prescribed Performance Control for Multi-Robot Deformable Object Cooperative Teleoperation," in IEEE Transactions on Automation Science and Engineering, 2023.
2. Z. Lu, Z. Zhao, T. Yue, X. Zhu and N. Wang, "A Bio-inspired Multi-functional Tendon-driven Tactile Sensor and Application in Obstacle Avoidance Using Reinforcement Learning," in IEEE Transactions on Cognitive and Developmental Systems, 2023.
3. Z. Lu et al., "Visual-Tactile Robot Grasping Based on Human Skill Learning From Demonstrations Using a Wearable Parallel Hand Exoskeleton," in IEEE Robotics and Automation Letters, vol. 8, no. 9, pp. 5384-5391, Sept. 2023.
4. Z. Lu, et al., A trajectory and force dual-incremental robot skill learning and generalization framework using improved dynamical movement primitives and adaptive neural network control. in Neurocomputing, vol. 521, pp.146-159. 2023.
5. Z. Lu and N. Wang, "Biomimetic Force and Impedance Adaptation Based on Broad Learning System in Stable and Unstable Tasks: Creating an Incremental and Explainable Neural Network With Functional Linkage," in IEEE Robotics & Automation Magazine, vol. 29, no. 4, pp. 66-77, Dec. 2022
6. Z. Lu, N. Wang, M. Li and C. Yang, "Incremental Motor Skill Learning and Generalization From Human Dynamic Reactions Based on Dynamic Movement Primitives and Fuzzy Logic System," in IEEE Transactions on Fuzzy Systems, vol. 30, no. 6, pp. 1506-1515, June 2022.
7. Z. Lu, Y. Guan and N. Wang, "An Adaptive Fuzzy Control for Human-in-the-Loop Operations With Varying Communication Time Delays," in IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 5599-5606, April 2022.
8. Z. Lu et al., "DMPs-based skill learning for redundant dual-arm robotic synchronized cooperative manipulation, " in Complex & Intelligent Systems, vol. 8, no. 4, pp.2873-2882. 2022.
9. Z. Lu, N. Wang and C. Yang, "A Constrained DMPs Framework for Robot Skills Learning and Generalization From Human Demonstrations," in IEEE/ASME Transactions on Mechatronics, vol. 26, no. 6, pp. 3265-3275, Dec. 2021.
10. Z. Lu, P. Huang and Z. Liu, "Relative Impedance-Based Internal Force Control for Bimanual Robot Teleoperation With Varying Time Delay," in IEEE Transactions on Industrial Electronics, vol. 67, no. 1, pp. 778-789, Jan. 2020.
11. Z. Lu, P. Huang, Z. Liu and H. Chen, "Fuzzy-Observer-Based Hybrid Force/Position Control Design for a Multiple-Sampling-Rate Bimanual Teleoperation System," in IEEE Transactions on Fuzzy Systems, vol. 27, no. 7, pp. 1383-1396, July 2019.
12. Z. Lu, P. Huang and Z. Liu, "Predictive Approach for Sensorless Bimanual Teleoperation Under Random Time Delays With Adaptive Fuzzy Control," in IEEE Transactions on Industrial Electronics, vol. 65, no. 3, pp. 2439-2448, March 2018.

详见：https://scholar.google.com/citations?user=p1uxhS4AAAAJ&hl=en

出版专著和教材

C. Yang,Z. Lu,  N. Wang, “Motion Regulation Solutions for Holding and Moving Objects in Single-Leader-Dual-Follower Teleoperation. In: Advanced Teleoperation and Robot Learning for Dexterous Manipulation” . Springer Tracts in Advanced Robotics, Springer, 2025.

指导学生情况

曾指导硕、博研究生23人、研究助理3名和本科生5人，部分入职英国西英格兰大学，博士就读于UCL、伯明翰大学、诺丁汉大学、大阪大学、首尔大学及国内高校等，指导硕士生2次获布里斯托大学优秀毕业设计等。