2012.09-2017.12 上海交通大学 机械电子工程 博士
2008.09-2012.07 四川大学 机械工程 学士

2024.03至今 上海交通大学 机械与动力工程学院 元知机器人研究院 副教授 博导
2020.12-2024.02 南京理工大学 机械工程学院 副教授
2018.12-2020.11 上海交通大学 机器人研究所 博士后

大模型与深度学习应用

机器人与智能制造系统

复杂机电系统建模与控制

27级硕士/博士开放申请中，同时欢迎编程和数学基础好、热爱科研、自驱力强的同学加入，同时欢迎有提升自我计划的本科生加入。

课题组与香港城市大学计算机科学系、美国罗格斯大学机器人自动化系、德国汉诺威莱布尼茨大学可靠性研究所等有深度合作。

2026-2029  国家自然科学基金联合重点项目，主要参与人

2026-2029  国家自然科学基金面上项目，负责人

2025-2028 上海市基础研究计划自然科学基金项目，负责人

2025-2027 上海市教委人工智能赋能科研计划项目，负责人

2025-2026 上海市高质量发展-人工智能专项“面向复杂零件五轴数控的AI-CNC系统”，课题负责人

2024-2027  国家科技重大专项“C919飞机XXXXXXXX”，课题负责人/交大方负责人

2022-2025  国家重点研发计划“高原复杂环境高机动轮足仿生机器人-多模态轮足仿生机器人运动机理与行走系统设计”，课题负责人

2021-2024  国家重点研发计划“工业机器人减速器状态监测传感器关键技术-基于多源传感信息、融合的减速器状态监测方法研究”，子课题负责人

2021-2023  国家自然基金青年项目“机器人铣削颤振的在线辨识及解耦抑制方法与系统研究”，负责人

2021-2023  江苏省双创人才“基于深度学习的机器人加工状态特征提取与智能识别方法研究”，负责人

2019-2022  国家自然科学基金联合基金重点项目“多移动操作机器人协同操作与控制方法与技术研究”，骨干

2019-2022  国家科技部新一代人工智能重大项目“地外探测无人系统自主智能精准感知与操控”，骨干

2018-2020 上海首批“超级博士后”激励计划“多移动操作机器人分布式感知方法研究”，负责人

2017-2020  国家自然基金面上项目“非结构化环境三维精密装配的机器人手眼协调方法与应用”，骨干

2013-2017  国家973计划-课题“高品质复杂零件加工的智能执行单元构建与控制”，骨干

[45] Y. Sun, L. Zhou, H. Bai, B. Zhang,  C. Liu, Dynamic Class-conditional Diffusion Adaptation for Class-Imbalanced Cross-Machine Machining State Recognition. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, 2026, Accepted.

[44] Y. Sun, H. Zhu, Y. Xu, K. Feng, Z. Xiong, JC Ji, M. Beer, A Class-Aware Supervised Contrastive GraphNetwork for CNC Machining Condition Monitoring with Class-Imbalanced Data. Mechanical Systems and Signal Processing, 2026, Accepted.

[43] Y. Sun, Z. Fu, P. Li, Y. Xu, Z. Xiong,  J. Ji, Robotic Digital Twin: A Lifecycle Perspective from Design to Application and Maintenance - A Review. CHAIN, (2026) 3(1)37-52.

[42] Y. Sun, Y. Xu, L. Zhang, C. Liu, H. Ma, Z. Xiong, Dual-threshold Denoising Convolutional Transformers for Machining Process Monitoring in Cyber-Physical Manufacturing Systems. IEEE Transactions on Industrial Cyber-Physical Systems, 3 (2025) 507-514 .

[41] Y. Xu, J. C. Ji, Y. Sun, S. Huang, Z. Zhao, G. Q. Huang, Self-supervised time–frequency feature alignment for process monitoring of cyber–physical CNC machines, Journal of Manufacturing Systems, 82 (2025) 1145-1157. 

[40] Z. Zhou, T. Jin, Y. Li, C. Wang, Z. Zhou, Y. Huang, Y. Sun, Enhanced coherent DOA estimation in low SNR environments through contrastive learning. IEEE Transactions on Instrumentation and Measurement, 74 (2025) 1-21.

[39] N. Bu, N. Luo, C. Liu, Y. Sun, Z. Xiong,  A Novel Path Following Method Based on Whole-Body Deviation Evaluation for Hyper-Redundant Robots. IEEE Robotics and Automation Letters, 10 (1) (2024) 604-611.

[38] Y. Lu, H. Ma, Y.  Sun, Q. Song, Z. LIU, Z. Xiong, An interpretable anti-noise convolutional neural network for online chatter detection in thin-walled parts milling. Mechanical Systems and Signal Processing, 206 (2024) 110885.

[37] Y. Sun, C. Qin, X. Yang, Z, Xie, H. Ma, Z. Xiong, X. ZHU, Y. Wang, Spectral interference rejection algorithm for beat frequency estimation in machining chatter, IEEE Transactions on Instrumentation and Measurement, 72 (2023) 353740.

[36] C. Qin, Y. Sun, J. Tao, H. Zeng, Y. Li, C. Liu, A chatter recognition approach for robotic drilling system based on synchroextracting chirplet transform, IEEE Sensors Journal 23 (22) (2023) 27670.

[35] B. Xiang, Y. Sun, Z, Xie, X. Yang, Y. Wang, NISB-Map: Scalable mapping with neural implicit spatial block, IEEE Robotics and Automation Letter, 7 (4) (2022) 11322-11329.

[34] Y. Pan, G. Xu, Z. Xiong, F. Li, B.Hu, Y. Sun, C. Pan, Y. Wang, NJUST-CCTD: An Image Database for Milling Tool Wear Classification with Deep Learning, International Journal of Advanced Manufacturing Technology, 127, (2023) 3681–3698.

[33] Y. Sun, J. He, H. Ma, X. Yang; Z. Xiong, X. Zhu, Y. Wang, Online chatter detection considering beat effect based on inception and LSTM neural networks, Mechanical Systems and Signal Processing. 184 (2) (2023) 109723.

[32] C. Qin, D. Xiao, J. Tao, H. Yu, Y. Jin, Y. Sun, C. Liu, Concentrated velocity synchronous linear chirplet transform with application to robotic drilling chatter monitoring, Measurement 194 (2022) 111090.

[31] X. Yang, P. Zhou, Y. Sun, B. Chen, H. Wu, Y. Wang, Kinematic compatible design and analysis of a back exoskeleton via a hyper redundant hybrid mechanism, IEEE Robotics and Automation Letters,7 (4) (2022) 11322 - 11329.
[30] H. Ma, W. Liu, Z. Xiong, Y. Li, Z. Liu, Y. Sun, Predefined-time barrier function adaptive sliding-mode control and its application to piezoelectric actuators, IEEE Transactions on Industrial Informatics, 18 (12) (2022) 22136135.  
[29] Y. Lu, H. Ma, W. Liu, Z. Xiong, Y. Li, Z. Liu, Y. Sun, An early chatter detection method based on multivariate variational mode decomposition and chatter correlation factor, IEEE Transactions on Mechatronics, 27 (6) (2022) 22386377.
[28] L. Ding, Y. Sun, Z. Xiong, Model-free adaptive sliding mode control-based active chatter suppression by spindle speed variation, Journal of Manufacturing Science and Engineering, Transactions of ASME, 144(7) (2022) 071002.  
[27] C. Yin, Y. Wang, G. Ma, Y. Wang, Y. Sun, Y. He, Weak fault feature extraction of rolling bearings based on improved ensemble noise-reconstructed EMD and adaptive threshold denoising, Mechanical Systems and Signal Processing, 171 (2022) 108834.  
[26] J. He, Y. Sun, C. Yin, Y. He, Y. Wang, Cross-domain adaptation network based on attention mechanism for tool wear prediction, Journal of Intelligent Manufacturing, 34 (2023) 3365–3387.
[25] Y. Liu, Y. Sun, Z. Xiong, An approximate maximum likelihood estimator for instantaneous frequency estimation of multicomponent nonstationary signals, IEEE Transactions on Instrumentation and Measurement 71 (2022) 6501509.  
[24] C. Yin, Y. Wang, H. Lee, J. He, Y. He, Y. Sun, Robust wheel wear detection for solid carbide grinding under strong noise interference: A new approach based on improved ensemble noise-reconstructed empirical mode decomposition, Wear, 486-487 (2021) 204112.
[23] Y. Sun, C. Liu, L. Sun, Z. Xiong, X. Zhu, Chatter detection with beat effect based on beat frequency estimation, IEEE Transactions on Automation Science and Engineering, 18 (4) (2020) 2166-2174.
[22] Y. Sun, L. Ding, Z. Xiong, X. Zhu, Beat effect in machining chatter: analysis and detection, Journal of Manufacturing Science and Engineering, Transactions of ASME, 143 (1) 2020 011003.  
[21] L. Ding, Y. Sun, Z. Xiong, Adaptive removal of time-varying harmonics for chatter detection in thin-walled turning, International Journal of Advanced Manufacturing Technology, 106(1-2) (2020) 519-531.
[20] H. Zhang, Q. Sheng, Y. Sun, X. Sheng, X. Xiong, X. Zhu, A novel coordinated motion planner based on capability map for autonomous mobile manipulator, Robotics and Autonomous Systems, 129 (2020) 103554.
[19] Y. Sun, Z. Xiong, An optimal weighted wavelet packet entropy method with application to real-time chatter detection, IEEE-ASME Transactions on Mechatronics 21 (4) (2016) 2004-2014.  
[18] Y. Sun, C. Zhuang, Z. Xiong, A scale factor-based interpolated DFT for chatter frequency estimation, IEEE Transactions on Instrumentation and Measurement 64 (10) (2015) 2666-2678.                                                                              
[17] Y. Sun, C. Zhuang, Z. Xiong, A switch-based interpolated DFT for the small number of acquired sine wave cycles, IEEE Transactions on Instrumentation and Measurement 65 (4) (2016) 846-855.  
[16] Y. Sun, Z. Xiong, High-order full-discretization method using Lagrange interpolation for stability analysis of turning processes with stiffness variation, Journal of Sound and Vibration 386 (1) (2017) 50-64.  
[15] Y. Sun, Z. Xiong, Modeling, analysis and removal of chatter marks in flexible turning, International Journal of Advanced Manufacturing Technology 93 (9-12) (2017) 4187-4196.  
[14] Y. Sun, C. Zhuang, Z. Xiong, Transform operator pair assisted Hilbert Huang transform for signals with instantaneous frequency intersections, Journal of Vibration and Acoustic, Transactions of ASME 137 (12) (2015) 06101601-061016010.
[13] L. Ding, Y. Sun, Z. Xiong, Active chatter suppression in turning by simultaneous adjustment of amplitude and frequency of spindle speed variation, Journal of Manufacturing Science and Engineering, Transactions of ASME 142 (2) (2020).  
[12] L. Ding, Y. Sun, Z. Xiong, Online chatter suppression in turning by adaptive amplitude modulation of spindle speed variation, Journal of Manufacturing Science and Engineering, Transactions of ASME, 140(12) (2018) 121003.  
[11] Y. Tang, X. Yang, X. Zhu, S. Zhou, W. Zha, Y. Sun, Y. Wang, A 2 degrees of freedom united propulsive mechanism for amphibious function inspired by frog’s hindlimb, Mechanical Sciences, 13 (2022) 437–448.
[10] Y. Sun, C. Zhuang, Z. Xiong, Real-time chatter detection using the weighted wavelet packet entropy, IEEE/ASME Int. Conf. Adv. Intell. Mechatronics, 2014, July 8-11, Besacon, France.
[9] Y. Sun, Z. Xiong, Efficiency analysis of sinusoidal stiffness variation method for chatter suppression, IEEE/ASME Int. Conf. Adv. Intell. Mechatronics, 2015 July 7-11, Busan, Korea.
[8] 熊振华，孙宇昕, 丁龙杨. 智能车床的颤振实时辨识与在线抑制系统研究[J], 机械工程学报，2018, 54(17): 85-93.
[7] 钱士才，孙宇昕，熊振华. 基于支持向量机的颤振在线智能检测[J], 机械工程学报，2015, 51(20): 1-8.
[6] 王杨敏, 刘前军, 潘一, 徐国达, 孙宇昕, 何彦, 王禹林, 干式切削环境污染采集方法与影响分析研究, 制造技术与机床, 2022（05）
[5] L. Yang, Y. Sun, C. Zhuang, Z. Xiong, Distortion prediction of a dual-disc part by turning-induced residual stresses mapping, Procedia CIRP, Digital Enterprise Technology, 2016.
[4] S. Qian, Y. Sun, Z. Xiong, Intelligent chatter detection based on WPNE and LSSVM-RFE，IEEE/ASME Int. Conf. Adv. Intell. Mechatronics, 2015 July 7-11, Busan, Korea.
[3] L. Ding, Y. Sun, Z. Xiong, Early Chatter Detection based on Regression with Time and Frequency Domain Features, IEEE/ASME Int. Conf. Adv. Intell. Mechatronics, July 3-7, 2017, Munich, Germany.
[2] Z. Chai, Y. Sun, Z. Xiong，A Novel Method for LiDAR Camera Calibration by Plane Fitting, IEEE/ASME Int. Conf. Adv. Intell. Mechatronics, July 9-12, 2018, Auckland, New Zealand.
[1] L. Ding, Y. Sun, Z. Xiong, Dual-mode type algorithm for chatter detection in turning considering beat vibration, IEEE/ASME Int. Conf. Adv. Intell. Mechatronics, July 7-12, 2019, Hong Kong.