一、个人基本情况
姓名：李淼
出生年月：1986年12月
学历：工学博士
E-mail： miao.li@epfl.ch; limiao712@gmail.com
二、学习及工作经历
2004.9-2008.6 华中科技大学 工学学士
2008.9-2011.6 华中科技大学 工学硕士
2011-2015 瑞士联邦洛桑理工（EPFL）工学博士
2016.12-至今 武汉大学 动力与机械学院
三、主要研究方向
柔性机器人与学习算法研究。
四、简介
已发表高水平SCI/EI论文近20篇，引用150余次，H-index 7。多次受邀在IROS, ICRA, CASE做技术报告，组织IROS 2016，ICRA上机器人抓取研讨会。 担任ICRA，IROS, RSS，Humanoids，IEEE Robotics and Automation Letters (RA-L), IEEE Transactions on Robotics(TRO)，Autonomous Robots (AR)，Robots and Autonomous Systems (RAS)，Journal of Sensor, Journal of Intelligent and Robotic Systems等机器人顶级会议与期刊评审。承担EPFL机器人实践课（硕士课程）的教学，指导硕士毕业论文与机器人学期项目。长期从事机器人灵巧手抓取规划与智能控制，主要研究围绕在将先进机器学习算法应用于复杂机械系统的 控制与设计之中。
五、学术成果
期刊论文
[1] M. Li, K. Tahara, A. Billard, Learning task manifold for constrained object manipulation, Autonomous Robots, 2016, conditionally accepted.
[2] K. Hang M. Li, J. A. Stork, Y. Bekiroglu, F. T. Pokorny, A. Billard and D. Kragic. Hierarchical fingertip space: a united framework for grasp planning and in-hand grasp adaptation. IEEE Transactions on Robotics, 32(4), 960-972, 2016.
[3] M. Li, K. Hang, D. Kragic, A. Billard. Dexterous grasping under shape uncertainty. Robotics and Autonomous Systems, 2015.
[4] B. Huang, M. Li, R. D. Souza, J. J. Bryson and A. Billard. A modular approach to learning manipulation strategies from human demonstration. Autonomous Robots, 2015.
[5] S. El-Khoury, M. Li, A. Billard. On the generation of a variety of grasps. Robotics and Autonomous Systems, 61(12), 1335-1349, 2013.
[6] M. Li, W. Yang, X. Zhang. Robust actuator force Analysis of a heavy-duty manipulator using GMM/GMR. International Journal of Robotics and Automation, 28(4), 349-356, 2013.
国际会议论文
[1] M. Li, Learning partial power grasp with task-speci c contact, IEEE International Conference on Robotics and Biomimetics (ROBIO), 2016. Finalist of T. J. Tarn Best Paper
[2] K. Hang, J.A. Haustein, M. Li, A. Billard, C. Smith and D. Kragic, On the evolution of fingertip grasping manifolds, In IEEE International Conference on Robotics and Automation (ICRA), 2016.
[3] M. Li, Y. Bekiroglu, D. Kragic, A. Billard. Learning of grasp adaptation through experience and tactile sensing. In IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS),
2014.
[4] M. Li, H. Yin, K. Tahara, A. Billard. Learning object-level impedance control for robust grasping and dexterous manipulation. In IEEE International Conference on Robotics and Automation (ICRA), 2014.
[5] N. Sommer, M. Li, A. Billard. Bimanual compliant tactile exploration for grasping unknown objects. In IEEE International Conference on Robotics and Automation (ICRA), 2014.
[6] B. Huang, S. El-Khoury, M. Li, J. J Bryson, A. Billard. Learning a real time grasping strategy. In IEEE International Conference on Robotics and Automation (ICRA), 2013.
[7] S. El Khoury, M. Li, A. Billard. Bridging the gap: one shot grasp synthesis approach. In IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS), 2012.
[8] M. Li, W. Yang, X. Zhang. Analysis of indeterminate force in multi-contact friction grasp based on potential energy minimization. In International Conference on Modelling, Identi cation and Control (ICMIC), 2010.
[9] W. Yang, M. Li, X. Zhang. Robust robotic grasping force optimization with uncertainty. In International conference on Intelligent Robotics and Applications(ICIRA), 2010.
[10] M. Li, W. Yang, X. Zhang. Projection on convex set and its application in testing force closure properties of robotic grasping. In International conference on Intelligent Robotics and Applications(ICIRA), 2010.
[11] X. Zhang, W. Yang, M. Li. An uncertainty approach for xture layout optimization using Monte Carlo method. In International conference on Intelligent Robotics and Applications(ICIRA), 2010.
[12] X. Zhang, W. Yang, M. Li. Fixture layout and clamping force optimization for large-scale workpiece using augmented Lagrangian method. Applied Mechanics and Materials, page 560{565, 2010.
六、获奖及荣誉
IROS Competition on Grasping and Manipulation, Team: Dorabot & Cobot, Autonomous Track: 2nd, Simulation Track: 2nd，2016年
PhD thesis, nominated for EPFL prize and ABB automation award，2015年
Excellent Master Paper Award, HUST，2010年
Scholarship for Distinguished Graduate Student, HUST，2008年
Outstanding Graduation of HUST，2008年