HeKONG

Home People Research Research Publications Teaching Protocol Sharing News Center for Pain Medicine Research Brief Info Software Alumni Join us Contact us He KONG Google Scholar ResearcherID Associate Professor |College of Engineering, Department of Mechanical and Energy Engineering He KONG received his bachelor, Master, and Ph.D. degrees from China University of Mining and Technology, Harbin Institute of Technology (advised by Prof Guang-Ren Duan and Prof Bin Zhou), and the University of Newcastle (advised by Prof Graham Goodwin and Dr. Maria Seron), Australia, respectively. He is currently an Associate Professor at the Department of Mechanical and Energy Engineering, Southern University of Science and Technology (SUSTech). Before that, he was a Research Fellow in Prof Salah Sukkarieh’s team at the Australian Centre for Field Robotics, University of Sydney (USYD); during his research stay at USYD, he was a leading researcher and major participant for a number of R&D projects on field robotics with applications in precision agriculture, among others. His research interests include robotic intelligent perception and decision making, robot audition, optimal filtering and estimation, advanced control methods and applications. He has published over 40 academic papers in major robotics and control journals and conferences. He was a co-recipient of Finalist for Youth Author Prize at the IFAC 1st Workshop on Robot Control in 2019. He is on the youth editorial board of the journal of Smart Agriculture. Personal Profile Personal Profile Research ◆ Robotic intelligent sensing and decision making： active multi-mode perception; field robotics and applications ◆ Robot audition：parameter calibration of robot auditions systems; robot audition technologies and applications ◆ Optimal filtering and estimation: optimal filtering and parameter identification under unknown inputs ◆ Advanced control methods and their applications: fully actuated system approaches; model predictive control Teaching ME425 Sensing Technology, 2022 Spring Semester MEE5003 Matrix Analysis and Its Applications，2022 Autumn Semester SDM273 Intelligent Sensors and Signal Processing，2023 Spring Semester Publications Read More Representative Publications（*corresponding author）: Robotics and Its Applications D. Su, H. Kong*, S. Sukkarieh, and S. Huang, Necessary and Sufficient Conditions for Observability of SLAM-Based TDOA Sensor Array Calibration and Source Localization, IEEE Trans. on Robotics, Vol. 37, No. 5, pp. 1451-1468, 2021 (Regular paper) S. Eiffert, N. Wallace, H. Kong*, N. Pirmarzdashti, and S. Sukkarieh, Resource and Response Aware Path Planning for Long Term Autonomy of Ground Robots in Agriculture, Field Robotics, Accepted and to appear, 04/2021 (Regular article, also available at https://arxiv.org/abs/2105.10690) D. Su, H. Kong*, Y. Qiao, and S. Sukkarieh, Data Augmentation for Deep Learning based Semantic Segmentation and Crop-Weed Classification in Agricultural Robotics, Computers and Electronics in Agriculture, Vol. 190, Article ID. 106418, pp. 1-12, 2021 Y. Qiao, H. Kong, C. Clark, S. Lomax, D. Su, S. Eiffert, and S. Sukkarieh, Intelligent Perception-based Cattle Lameness Detection and Behaviour Recognition: A Review, Animals, Vol. 11, No. 11, pp. 1-20, 2021 D. Su, Y. Qiao, H. Kong, and S. Sukkarieh, Real Time Detection of Inter-Row Ryegrass in Wheat Farm using Deep Learning, Biosystem Engineering, Vol. 204, pp. 198-211, 2021 T. Xue, Y. Qiao, H. Kong, D. Su, S. Pan, K. Rafique, and S. Sukkarieh, One-shot Learning-based Animal Video Segmentation, IEEE Trans. on Industrial Informatics, Early access, 2021 Y. Qiao, H. Kong, C. Clark, S. Lomax, D. Su, S. Eiffert, and S. Sukkarieh, Intelligent Perception for Cattle Monitoring : A Review for Cattle Identification, Body Condition Score Evaluation and Weight Estimation, Computers and Electronics in Agriculture, Vol. 185, Article ID. 106143, pp. 1-11, 2021 J. Brown, D. Su, H. Kong*, S. Sukkarieh, and E. Kerrigan, Improved Noise Covariance Estimation in Visual Servoing Using an Autocovariance Least-squares Approach, Mechatronics, Vol. 68, pp. 1-10, 2020 (Invited paper) J. Wakulicz, H. Kong*, and S. Sukkarieh, Active Information Acquisition under Arbitrary Unknown Disturbances, Proc. of 2021 IEEE ICRA, pp. 8429-8435, 2021 S. Eiffert, N. Wallace, H. Kong*, N. Pirmarzdashti, and S. Sukkarieh, Experimental Evaluation of a Hierarchical Operating Framework for Ground Robots in Agriculture, Springer Proc. in Advanced Robotics Book Series, Results of 17th Int. Sym. on Experimental Robotics (ISER), pp. 151-160, 2021 N. Wallace, H. Kong, A. Hill, and S. Sukkarieh, Experimental Validation of Structured Receding Horizon Estimation and Control for Mobile Ground Robot Slip Compensation, Springer Proc. in Advanced Robotics Book Series, Vol. 16, Results of the 12th Conf. on Field and Service Robotics (FSR), pp. 411-426, 2021 S. Eiffert, H. Kong, N. Pirmarzdashti, and S. Sukkarieh, Path Planning in Dynamic Environments using Generative RNNs and Monte Carlo Tree Search, Proc. of 2020 IEEE ICRA, pp. 948-954, 2020 N. Wallace, H. Kong*, A. Hill, and S. Sukkarieh, The Orienteering Problem with Replenishment, Proc. of IEEE 16th Int. Conf. on Automation Science and Eng. (CASE), pp. 973-978, 2020 S. Eiffert, N. Wallace, H. Kong*, N. Pirmarzdashti, and S. Sukkarieh, A Hierarchical Framework for Long-term and Robust Deployment of Field Ground Robots in Large-Scale Farming, Proc. of IEEE CASE, pp. 948-954, 2020 N. Wallace*, H. Kong*, A. Hill, and S. Sukkarieh, Receding Horizon Estimation and Control with Structured Noise Blocking for Mobile Robot Slip Compensation, Proc. of 2019 IEEE ICRA, pp. 1169-1175, 2019 Systems and Control H. Kong*, S. Sukkarieh, T. Arnold, T. Chen, and W. X. Zheng, The Noise Covariances of Linear Gaussian Systems with Unknown Inputs Are Not Uniquely Identifiable Using Autocovariance Least-squares, Systems and Control Letters, Accepted and to appear, 2022 H. Kong*, M. Shan, S. Sukkarieh, T. Chen, and W. X. Zheng, Kalman Filtering under Arbitrary Unknown Inputs and Norm Constraints, Automatica, Vol. 133, Article ID. 109871, pp. 1-9, 2021 H. Kong*, M. Shan, D. Su, Y. Qiao, and A. Al-Azzawi, and S. Sukkarieh, Filtering for Systems subject to Unknown Inputs without a priori Initial Information, Automatica, Vol. 120, pp. 1-12, 2020 (Regular paper) H. Kong* and S. Sukkarieh, An Internal Model Approach to Estimation of Systems with Arbitrary Unknown Inputs, Automatica, Vol. 108, pp. 1-11, 2019 (Regular paper) H. Kong* and S. Sukkarieh, Suboptimal Receding Horizon Estimation via Noise Blocking, Automatica, Vol. 98, pp. 66-75, 2018 H. Kong* and S. Sukkarieh, Metamorphic Moving Horizon Estimation, Automatica, Vol. 97, pp. 167-171, 2018 H. Kong*, G. Goodwin, and M. Seron, A Cost-effective Sparse Communication Strategy for Networked Linear Control Systems: An SVD-based Approach, Int. Journal of Robust and Nonlinear Control, Vol. 25, No. 14, pp. 2223-2240, 2015 G. Goodwin, H. Kong, G. Mirzaeva, and M. Seron, Robust Model Predictive Control: Reflections and Opportunities, Journal of Control and Decision, Vol. 1, No. 2, pp. 115-148, 2014 (Invited paper) H. Kong*, G. Goodwin, and M. Seron, Predictive Metamorphic Control, Automatica, Vol. 49, No. 12, pp. 3670–3676, 2013 People Read More PrevNext UpDown Join us Read More Contact Us Contact Address Room 522, College of Engineering, SUSTech Office Phone 0755-88011263 Email kongh@sustech.edu.cn