2010-2013，清华大学精仪系制造所，博士后

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

2018-2018，美国加州大学伯克利分校，访问学者

2018-2020，清华大学党委办公室副主任(挂职)

2020-2022，清华大学机械系党委副书记

2022-至今，清华大学机械系副系主任

目前稳定讲授《机电测试与智能控制》、《系统动力学与控制》、《工程图学基础》课程。曾讲授《控制工程基础》、《现代机电工程》、《生产实习与社会实践》等本科和研究生课程。多次被评为清华大学毕业生心目中的好教师，获省部级教育教学成果奖一等奖和二等奖共3项，获清华大学教学成果奖一等奖、清华大学年度教学优秀奖、青教赛一等奖、良师益友等，负责的《系统动力学与控制》课程于2020年获评首批国家级一流本科课程。指导的学生获清华大学特等奖学金、国家奖学金、中国机械行业卓工教育联盟毕业设计大赛个人项目唯一金奖、国际会议最佳论文奖等。

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、机器嗅觉与医工交叉等。发表学术论文近150篇，包括IEEE Transactions系列、Robotics and CIM、Advanced Functional Materials、Advanced Intelligent Systems、Automatica、IJMTM等国际SCI期刊；参写英文专著2部；申请国家发明专利近50项，授权30余项。担任IEEE Transactions on Industrial Informatics的Associate Editor，IEEE/ASME Transactions on Mechatronics的Technical Editor。

长期招收机械、智能控制、电机电气、机器人、测控、医工交叉等科研方向的博士后、博士生及硕士生。

2022年国家自然科学基金委优秀结题项目

2022年北京市教育教学成果奖一等奖和二等奖

2021年清华大学教学成果奖一等奖

2020年清华大学青教赛一等奖

2020年负责的课程入选首批国家级一流本科课程

2019年北京市自然科学基金杰青项目资助

2019年国家自然科学基金优青项目资助

2018年国家万人计划青年拔尖人才计划资助

2018年北京市技术发明奖一等奖

2017年清华大学学术新人奖

2013年全国百篇优秀博士论文提名

2012年清华大学优秀博士后

2012 Best Mechatronics Paper Award from ASME Dynamic Systems and Control Division

2011年中国机械工程学会上银优秀机械博士论文奖

2010年浙江大学竺可桢奖

[1] 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.

[2] 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.

[3] 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.

[4] 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.

[5] 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, vol. 19, no. 5, pp. 6525-6536, May 2023.

[6] 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.

[7] 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.

[8] 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, vol. 28, no. 2, pp. 781-791, April 2023.

[9] 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.

[10] 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.

[11] 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.  

[12] 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.

[13] 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.

[14] 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.

[15] 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.

[16] 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.

[17] 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

[18] 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.

[19] 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.

[20] 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.

[21] 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.

[22] 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.