个人简历

熊昊博士，深圳市海外高层次人才C类。熊昊博士分别于2011年获得北京航空航天大学学士学位、2013年获得诺丁汉大学（University of Nottingham）硕士学位，2019年获得普渡大学(Purdue University)博士学位。2020年4月聘为哈尔滨工业大学(深圳)助理教授。
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依托自动化专业，招收机器人与机器学习方向研究生。
教育经历
2016-2019 Purdue University，PhD in Technology
2011-2013 University of Nottingham，Master in Electromagnetics Design
2007-2011 北京航空航天大学，自动化学士学位
发明专利
[P1] X. Diao and H. Xiong, “Method and apparatus for cable-driven adaptive vibration control,” US10640210B2.

研究领域

机器学习以及机器学习与经典控制的结合
柔性辅助与康复机器人的设计及基于机器学习的控制
基于机器学习的无人机/无人车的控制与决策""

近期论文

[J10] Xiong, H., and Diao, X. “Safety Robustness of Reinforcement Learning Policies: A View from Robust Control,” Neurocomputing, 2020.
doi:10.1016/j.neucom.2020.09.055
[J9] Xiong, H., Hu, J., and Diao, X. “Flight-Trim System for Quadrotors with Rotatable Arms,” Journal of Guidance, Control, and Dynamics, pp. 1–7, Oct. 2020.
doi:10.2514/1.G005122
[J8] Xiong, H., Zhang, L., and Diao, X. “A Learning-Based Control Framework for Cable-Driven Parallel Robots with Unknown Jacobians.” Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 2020, p. 0959651819898945.
doi:10.1177/0959651819898945.
[J7] Xiong, H., and Diao, X. “Stiffness Analysis of Cable-Driven Parallel Mechanisms with Cables Having Large Sustainable Strains.” Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2020, p. 0954406220902165.
doi:10.1177/0954406220902165.
[J6] Xiong, H., Ma, T., Zhang, L., and Diao, X. “Comparison of End-to-End and Hybrid Deep Reinforcement Learning Strategies for Controlling Cable-Driven Parallel Robots.” Neurocomputing, Vol. 377, 2020.
doi:10.1016/j.neucom.2019.10.020.
[J5] Xiong, H., Hu, J., and Diao, X. “Optimize Energy Efficiency of Quadrotors via Arm Rotation.” Journal of Dynamic Systems, Measurement, and Control, Vol. 141, No. 9, 2019.
doi:10.1115/1.4043227.
[J4] Xiong, H., and Diao, X. “The Effects of Cables’ Strain and Specific Stiffness on the Stiffness of Cable-Driven Parallel Manipulators.” Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Vol. 233, No. 15, 2019, pp. 5448–5459.
doi:10.1177/0954406219846536.
[J3] Xiong, H., and Diao, X. “A Review of Cable-Driven Rehabilitation Devices.” Disability and Rehabilitation: Assistive Technology, 2019, pp. 1–13.
doi:10.1080/17483107.2019.1629110.
[J2] Zhang, L., Li, S., Xiong, H., Diao, X., and Ma, O. “An Application of Convolutional Neural Networks on Human Intention Prediction.” International Journal of Artificial Intelligence & Applications, Vol. 10, 2019, pp. 1–11.
doi:10.5121/ijaia.2019.10501.
[J1] Xiong, H., and Diao, X. “Geometric Isotropy Indices for Workspace Analysis of Parallel Manipulators.” Mechanism and Machine Theory, Vol. 128, 2018, pp. 648–662.
doi:10.1016/j.mechmachtheory.2018.05.017.
会议论文及发表演说
[C11] H. Xiong, L. Zhang, and X. Diao, “A Novel Control Strategy for Cable-Driven Parallel Robots with Unknown Jacobians,” in IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO), 2019.
[C10] T. Ma, H. Xiong, L. Zhang, and X. Diao, “Control of a Cable-Driven Parallel Robot via Deep Reinforcement Learning,” in IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO), 2019.
[C9] S. Li, H. Xiong, and X. Diao, “Pre-Impact Fall Detection Using 3D Convolutional Neural Network,” in IEEE 16th International Conference on Rehabilitation Robotics (ICORR), 2019, pp. 1173–1178.
[C8] L. Zhang, S. Li, H. Xiong, X. Diao, O. Ma, and Z. Wang, “Prediction of Intention Behind a Single Human Action: An Application of Convolutional Neural Network,” in IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), 2019.
[C7] H. Xiong, L. Zhang, Z. Liu, and X. Diao, “Joint force analysis and moment efficiency index of cable-driven rehabilitation devices,” in IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids), 2018, pp. 1–5.
[C6] H. Xiong and X. Diao, “Safe Tension Control of Cable-Driven Rehabilitation Devices with Elastic Cables,” in IEEE International Conference on Cyborg and Bionic Systems (CBS), 2018, pp. 544–548.
[C5] H. Xiong and X. Diao, “Motion Control of Cable-Driven Rehabilitation Devices with Large Deformation Cables,” in IEEE International Conference on Cyborg and Bionic Systems (CBS), 2018, pp. 537–543.
[C4] H. Xiong and X. Diao, “Geometric isotropy indices for workspace analysis of spatial parallel manipulators,” in IEEE International Conference on Robotics and Biomimetics (ROBIO), 2017, pp. 1985–1990.
[C3] H. Xiong and X. Diao, “Cable tension control of cable-driven parallel manipulators with position-controlling actuators,” in IEEE International Conference on Robotics and Biomimetics (ROBIO), 2017, pp. 1763–1768.
[C2] H. Xiong and X. Diao, “The effect of cable tensions on the stiffness of cable-driven parallel manipulators,” in IEEE/ASME international conference on advanced intelligent mechatronics (AIM), 2017, pp. 1185–1190.
[C1] H. Xiong and X. Diao, “Novel geometric isotropy indices for workspace analysis of planar parallel manipulators,” in IEEE/ASME international conference on advanced intelligent mechatronics (AIM), 2017, pp. 1191–1196.