基本信息
姓名:袁明星 性别: 男 所属部门: 机器人与信息自动化研究所 行政职务: 职称: 副教授/博士生和硕士生导师 学历: 博士 所学专业: 机械电子工程 办公电话: 电子邮件: mxyuan@nankai.edu.cn 研究方向: 人机交互;机器人智能感知、规划与控制;
个人简介 2023.01-至今: 澳门新葡平台网址8883入口,副教授 2019.06-2022.12: 澳门新葡平台网址8883入口,讲师 2016.11-2017.11:美国普渡大学机械工程学院联合培养博士生 2013.09-2019.03:浙江大学,机械电子工程,工学博士 2009.09-2013.06:南京航空航天大学,飞行器制造工程,工学学士
澳门新葡平台网址8883入口机器人自主行为与人智协同研究团队(Robot Autonomy and Human-AI Collaboration, RaHAIC)核心成员,团队创始人、指导专家为方勇纯教授,团队负责人为张雪波教授。 课题组主页:https://rh.nankai.edu.cn/index.htm
实验室常年招收优秀本科生开展科创项目研究,请有意向的本科生直接与我联系。
2023年秋季推免还有1个保研名额,欢迎感兴趣的优秀同学加入机器人自主行为与人智协同研究团队。
研究方向聚焦人机交互与智能操作,系统性地涵盖机器人感知、规划与控制三个层面。感知层面包括视觉目标识别与定位、作业场景三维重建与视觉无序抓取;规划层面包括场景探索、避碰路径规划与时间最优轨迹规划;控制层面包括高精协同运动控制与柔顺交互力控。应用场景包括医疗超声扫查、伤患康复辅助训练、工件或包裹分拣、电网作业等。
1. 机器人智能感知
2.机器人运动规划
3.机器人智能控制
瞬时强干扰(幅值超过控制输入极限,持续时间短)下机械臂偏离轨迹最短时间复原(C3为我们所提方法)
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撰写论文、专著、教材等 近期发表的主要论文
M. Yuan and X. Zhang, Minimum-time Transient Response Guaranteed Control of Servo Motor Systems with Modeling Uncertainties and High-order Constraint, IEEE Transactions on Circuits and Systems II: Express Briefs, 2022, DOI: 10.1109/TCSII.2022.3227332. (SCI)
M. Yuan and X. Zhang, Stability and fast transient performance oriented motion control of a direct-drive system with modeling uncertainties, velocity and input constraints, IEEE/ASME Transactions on Mechatronics, 2022, 27(6): 5926 - 5935. (SCI, TOP期刊)
M. Yuan and X. Zhang. Towards Fast Trajectory Recovery for Servo Motor Systems under Instantaneous Large Disturbance. IEEE Transactions on Circuits and Systems II: Express Briefs, 2022, 69(8): 3595 – 3599 (SCI)
M. Yuan, Z Chen, B Yao, et al. Fast and Accurate Motion Tracking of a Linear Motor System under Kinematic and Dynamic Constraints: an Integrated Planning and Control Approach. IEEE Transactions on Control Systems Technology, 2021, 29(2): 804-811. (ESI高被引论文, SCI)
M. Yuan, Z Chen, B Yao, et al. A general online trajectory planning framework in the case of desired function unknown in advance. IEEE Transactions on Industrial Informatics, 2019, 15(5): 2753-2762. (SCI,TOP期刊)
M. Yuan, Z Chen, B Yao, et al. An improved online trajectory planner with stability-guaranteed critical test curve algorithm for generalized parametric constraints. IEEE/ASME Transactions on Mechatronics, 2018, 23(5): 2459-2469. (SCI,TOP期刊)
M. Yuan, Z Chen, B Yao, et al. Time optimal contouring control of industrial biaxial gantry: A highly efficient analytical solution of trajectory planning. IEEE/ASME Transactions on Mechatronics, 2017, 22(1): 247-257. (ESI高被引论文,SCI,TOP期刊)
M. Yuan, Z. Chen, B. Yao and J. Hu. Online Trajectory Planning based Motion Control of a Teleoperation Robot System, 2018 IEEE International Conference on Information and Automation, Wuyishan, China, Aug. 2018. (EI & Best Paper Award Finalist)
M. Yuan, B. Yao and X. Zhu. An efficient computation algorithm for time optimal trajectory planning with physical constraints, 2015 IEEE International Conference on Information and Automation, pp.31003105, Lijiang, China, Aug. 2015. (EI)
M. Yuan, B. Yao, D. Gao, X. Zhu and Q. Wang. A novel algorithm for time optimal trajectory planning, 2014 ASME Dynamic Systems and Control Conference, pp. V001T02A003, San Antonio, Texas, USA, Oct. 2014. (EI)
Z. Chen, C. Li, B. Yao, M. Yuan and C. Yang. Integrated coordinated/synchronized contouring control of a Dual-Linear-Motor-Driven Gantry, IEEE Transactions on Industrial Electronics, DOI: 10.1109/TIE.2019.2921287. (SCI, TOP期刊)
J. Hu, Z. Chen, M. Yuan and B. Yao. Adaptive Robust Control of a 7-DoFs Teleoperation Robot System with Payload variations and disturbances, 2018 ASME Dynamic Systems and Control Conference, Atlanta, Georgia, USA, Oct. 2018. (EI)
X. Liu, M. Yuan, Z. Chen, B. Yao and Q. Wang. Constrained Time-optimal Motion Control of a Linear Motor Driven System: Theory and Experiments, The 20th IEEE International Conference on Industrial Technology, Melbourne, Australia, Feb. 2019. (EI)
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社会兼职
入选IEEE/ASME TMECH TJRP项目; Reviewer: IEEE/ASME Transactions on Mechatronics IEEE Transactions on Industrial Electronics IEEE Transactions on Industrial Informatics IEEE Transactions on Control Systems Technology IEEE Robotics and Automation Letter ASME Journal of Dynamic Systems, Measurement and Control Control Engineering Practice
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