个人简历

教育背景\r
2000-2005，浙江大学机械电子工程专业(五年制)，工学学士\r
2005-2010，浙江大学机械电子工程专业，工学博士\r
2007-2008，美国普渡大学机械工程系，国家公派联合培养\r
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工作履历\r
2010-2013，清华大学精仪系制造所，博士后\r
2013-至今，清华大学机械系机电所，助理研究员、助理教授、准聘副教授、长聘副教授\r
2018-2018，美国加州大学伯克利分校，访问学者\r
2018-2020，清华大学党委办公室副主任(挂职)\r
2020-2022，清华大学机械系党委副书记\r
2022-至今，清华大学机械系副系主任

研究领域

研究领域：精密机电智能控制。围绕集成电路制造装备、数控技术与智能装备、机器人开展精密机电智能控制研究工作，注重理论原创和实际应用，研究兴趣包括精密/超精密机电运动系统、精密运动控制与轨迹规划、智能学习与预测、机器人智能控制、医工交叉等。""

近期论文

C. Hu, T. Ou, H. Chang, Y. Zhu, and L. Zhu, “Deep GRU Neural Network Prediction and Feedforward Compensation for Precision Multiaxis Motion Control Systems,” IEEE-ASME Transactions on Mechatronics, vol. 25, no. 3, pp. 1377–1388, Jun. 2020.\r
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S. He, W. Zhao, C. Hu, Y. Zhu, and C. Liu, “A hierarchical long short term safety framework for efficient robot manipulation under uncertainty,” Robotics and Computer-Integrated Manufacturing, vol. 82, pp. 102522, Aug. 2023.\r
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R. Zhou, C. Hu, Z. Wang, S. He, and Y. Zhu, “Nonlinearity Compensation and High-frequency Flexibility Suppression Based RIC Method for Precision Motion Control Systems,” IEEE Transactions on Industrial Informatics, vol. 19, no. 2, pp. 1332-1342, Feb. 2023.\r
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W. Wang, C. Hu, K. Zhou, and Z. Wang, “Time Parameter Mapping and Contour Error Precompensation for Multi-axis Input Shaping,” IEEE Transactions on Industrial Informatics, vol. 19, no. 3, pp. 2640-2651, Mar. 2023.\r
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Z. Zhao, C. Hu, Z. Wang, S. Wu, Z. Liu, and Yu Zhu, “Back EMF-Based Dynamic Position Estimation in the Whole Speed Range for Precision Sensorless Control of PMLSM,” IEEE Transactions on Industrial Informatics, 2022, DOI: 10.1109/TII.2022.3205941.\r
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T. Ou, C. Hu, Y. Zhu, M. Zhang, and L. Zhu, “Intelligent Feedforward Compensation Motion Control of Maglev Planar Motor With Precise Reference Modification Prediction,” IEEE Transactions on Industrial Electronics, vol. 68, no. 9, pp. 7768–7777, Sep. 2021.\r
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Z. Wang, R. Zhou, C. Hu, and Y. Zhu, “Online Iterative Learning Compensation Method Based on Model Prediction for Trajectory Tracking Control Systems,” IEEE Transactions on Industrial Informatics, vol. 18, no. 1, pp. 415–425, Jan. 2022.\r
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T. Ou, C. Hu, Yu Zhu, and Ming Zhang, “Generation Mechanism and Decoupling Strategy of Coupling Effect in Maglev Planar Motor,” IEEE-ASME Transactions on Mechatronics, 2022, DOI: 10.1109/TMECH.2022.3213561.\r
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Z. Wang, C. Hu, Y. Zhu, and L. Zhu, “Prediction Model based Contouring Error Iterative Pre-Compensation Scheme for Precision Multi-axis Motion Systems,” IEEE-ASME Transactions on Mechatronics, vol. 26, no. 5, pp. 2274-2284, Oct. 2021.\r
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Z. Wang, R. Zhou, C. Hu, and Y. Zhu, “Real-Time Iterative Compensation Based Contouring Control Method for Polar Coordinate Motion Systems,” IEEE-ASME Transactions on Mechatronics, vol. 27, no. 5, pp. 3517-3526, Oct. 2022.\r
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Z. Wang, C. Hu, and Y. Zhu, “Accelerated Iteration Algorithm Based Contouring Error Estimation for Multiaxis Motion Control,” IEEE-ASME Transactions on Mechatronics, vol. 27, no. 1, pp. 452–462, Feb. 2022. \r
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C. Hu, R. Zhou, Z. Wang, Y. Zhu, and M. Tomizuka, “Real-Time Iterative Compensation Framework for Precision Mechatronic Motion Control Systems,” IEEE-CAA Journal of Automatica Sinica, vol. 9, no. 7, pp. 1218–1232, Jul. 2022.\r
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W. Wang, C. Hu, K. Zhou, S. He, and L. Zhu, “Local asymmetrical corner trajectory smoothing with bidirectional planning and adjusting algorithm for CNC machining,” Robotics and Computer-Integrated Manufacturing, vol. 68, pp. 102058, Apr. 2021.\r
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C. Hu, J. Yu, Z. Wang, and Y. Zhu, “An iterative contouring error compensation scheme for five-axis precision motion systems,” Mechanical Systems and Signal Processing, vol. 178, pp. 109226, Oct. 2022.\r
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C. Hu, S. Lin, Z. Wang, and Y. Zhu, “Task Space Contouring Error Estimation and Precision Iterative Control of Robotic Manipulators,” IEEE Robotics and Automation Letters, vol. 7, no. 3, pp. 7826–7833, Jul. 2022.\r
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J. Wang, C. Hu, and Y. Zhu, “CPG-Based Hierarchical Locomotion Control for Modular Quadrupedal Robots Using Deep Reinforcement Learning,” IEEE Robotics and Automation Letters, vol. 6, no. 4, pp. 7193–7200, Oct. 2021.\r
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J. Wang, S. Lin, C. Hu, Y. Zhu, and L. Zhu, “Learning Semantic Keypoint Representations for Door Opening Manipulation,” IEEE Robotics and Automation Letters, vol. 5, no. 4, pp. 6980–6987, Oct. 2020\r
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S. He, C. Hu, Y. Zhu, and M. Tomizuka, “Time optimal control of triple integrator with input saturation and full state constraints,” Automatica, vol. 122, pp. 109240, Dec. 2020.\r
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C. Hu, T. Ou, Y. Zhu, and L. Zhu, “GRU-Type LARC Strategy for Precision Motion Control With Accurate Tracking Error Prediction,” IEEE Transactions on Industrial Electronics, vol. 68, no. 1, pp. 812–820, Jan. 2021.\r
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W. Zhao, C. Hu, and T. Xu, “In vivo bioprinting: Broadening the therapeutic horizon for tissue injuries,” Bioactive Materials, vol. 25, pp. 201-222, Jul. 2023.\r
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W. Zhao, C. Hu, T. Xu, S. Lin, Z. Wang, and Y. Zhu, “Subaqueous Bioprinting: A Novel Strategy for Fetal Membrane Repair with 7-Axis Robot-Assisted Minimally Invasive Surgery,” Advanced Functional Materials, vol. 32, no. 51, pp. 2207496, Dec. 2022.\r
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L. Liu, C. Hu, T. Ou, Z. Wang, Y. Zhu, N. Na, “Selective Detection of Mixtures via a Single Non-Selective Sensor — Making the Unworkable Sensor Workable by Machine Learning,” Advanced Intelligent Systems, vol. 5, no. 1, pp. 2200136, Jan. 2023.