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publications
Gaussian process-based nonlinear predictive control for visual servoing of constrained mobile robots with unknown dynamics
Published in Robotics and Autonomous Systems, 2021
Recommended citation: Jin, Zhehao, et al. "Gaussian process-based nonlinear predictive control for visual servoing of constrained mobile robots with unknown dynamics." Robotics and Autonomous Systems 136 (2021): 103712.
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Policy-based deep reinforcement learning for visual servoing control of mobile robots with visibility constraints
Published in IEEE Transactions on Industrial Electronics, 2021
Recommended citation: Z. Jin, J. Wu, A. Liu, W. -A. Zhang and L. Yu, "Policy-Based Deep Reinforcement Learning for Visual Servoing Control of Mobile Robots With Visibility Constraints," in IEEE Transactions on Industrial Electronics, vol. 69, no. 2, pp. 1898-1908, Feb. 2022.
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Constrained variable impedance control using quadratic programming
Published in International Conference on Robotics and Automation , 2022
Recommended citation: Z. Jin, D. Qin, A. Liu, W. -A. Zhang and L. Yu, "Constrained Variable Impedance Control using Quadratic Programming," 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, 2022, pp. 8319-8324.
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An optimal variable impedance control with consideration of the stability
Published in IEEE Robotics and Automation Letters, 2022
Recommended citation: Z. Jin, A. Liu, W. -a. Zhang and L. Yu, "An Optimal Variable Impedance Control With Consideration of the Stability," in IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 1737-1744, April 2022.
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A learning based hierarchical control framework for human–robot collaboration
Published in IEEE Transactions on Automation Science and Engineering , 2022
Recommended citation: Z. Jin, A. Liu, W. -A. Zhang, L. Yu and C. -Y. Su, "A Learning Based Hierarchical Control Framework for Human–Robot Collaboration," in IEEE Transactions on Automation Science and Engineering, vol. 20, no. 1, pp. 506-517, Jan. 2023.
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Model predictive variable impedance control of manipulators for adaptive precision-compliance tradeoff
Published in IEEE/ASME Transactions on Mechatronics, 2022
Recommended citation: Z. Jin, D. Qin, A. Liu, W. -a. Zhang and L. Yu, "Model Predictive Variable Impedance Control of Manipulators for Adaptive Precision-Compliance Tradeoff," in IEEE/ASME Transactions on Mechatronics, vol. 28, no. 2, pp. 1174-1186, April 2023.
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Hierarchical Human-Robot Cooperative Control Based on GPR and DRL
Published in ACTA AUTOMATICA SINICA, 2022
Recommended citation: Jin Zhe-Hao, Liu An-Dong, Yu Li. Hierarchical human-robot cooperative control based on GPR and deep reinforcement learning. Acta Automatica Sinica, 2022, 48(9): 2352−2360.
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Gaussian process movement primitive
Published in Automatica, 2023
Recommended citation: Z. Jin, A. Liu, W.-A. Zhang, L. Yu, and C. Yang, “Gaussian process movement primitive,” Automatica, vol. 155, 2023, Art. no. 111120.
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Learning neural-shaped quadratic Lyapunov function for stable, accurate and generalizable human–robot skills transfer
Published in Robotics and Computer-Integrated Manufacturing, 2023
Recommended citation: Jin, Zhehao, et al. "Learning neural-shaped quadratic Lyapunov function for stable, accurate and generalizable human–robot skills transfer." Robotics and Computer-Integrated Manufacturing 82 (2023): 102526.
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Learning a flexible neural energy function with a unique minimum for globally stable and accurate demonstration learning
Published in IEEE Transactions on Robotics, 2023
Recommended citation: Z. Jin, W. Si, A. Liu, W. -A. Zhang, L. Yu and C. Yang, "Learning a Flexible Neural Energy Function With a Unique Minimum for Globally Stable and Accurate Demonstration Learning," in IEEE Transactions on Robotics, vol. 39, no. 6, pp. 4520-4538, Dec. 2023.
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Learning stable state-dependent variable impedance control for compliant manipulation
Published in IEEE/ASME Transactions on Mechatronics, 2024
Recommended citation: Z. Jin, A. Liu, W. -a. Zhang, L. Yu and C. Yang, "Learning Stable State-Dependent Variable Impedance Control for Compliant Manipulation," in IEEE/ASME Transactions on Mechatronics, doi: 10.1109/TMECH.2024.3466950.
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Learning an Autonomous Dynamic System to Encode Periodic Human Motion Skills
Published in IEEE Transactions on Neural Networks and Learning Systems, 2024
Recommended citation: Z. Jin, A. Liu, W. -A. Zhang, L. Yu and C. Yang, "Learning an Autonomous Dynamic System to Encode Periodic Human Motion Skills," in IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 4, pp. 7757-7763, April 2025.
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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