师资
孔贺，9001cc金沙研究员，博士生导师，9001cc金沙-机器人研究院副院长。本、硕、博分别毕业于中国矿大、哈工大、澳大利亚Newcastle大学，曾在悉尼大学野外机器人研究中心开展博士后研究。入选国家海外高层次人才青年项目，近三年主持获批国自然-原创探索计划项目（首年结题优秀，并获延续资助）、国自然-联合基金重点项目、国家重点研发计划-智能机器人重点专项课题，国拨经费逾千万；广东省重点实验室、深圳市重点实验室、深圳市孔雀团队计划核心成员。主要致力于机器人的多模态感知及融合、最优滤波与参数辨识、机器人与航天器控制、野外机器人系统与技术等方面的研究。担任IEEE Robotics and Automation Letters、IEEE Robotics and Automation Magazine、IEEE Sensors Letters、International Journal of Adaptive Control and Signal Processing副主编、《信息与控制》青年编委以及机器人领域多个主流会议副主编。
课题组网址 https://hekong-sustech.github.io/index.html
研究领域
◆ 机器人智能感知与决策
◆ 机器人声音学
◆ 人形机器人
◆ 全驱系统方法
◆ 机器人与航天器控制
工作经历
◆ 2023.02-至今 金沙9001cc以诚为本，自动化与智能制造学院，副教授
◆ 2022.06-2023.02 金沙9001cc以诚为本，机械与能源工程系，副教授
◆ 2022.01-2022.05 金沙9001cc以诚为本，机械与能源工程系，助理教授
◆ 2016.07-2021.10 悉尼大学，野外机器人研究中心，博士后研究员
◆2015.02-2016.05 英国克兰菲尔德大学，先进车辆工程研究中心，博士后研究员
学习经历
◆ 2014.10 澳大利亚Newcastle大学，电气工程，博士
◆ 2010.07 哈尔滨工业大学，控制科学与工程，硕士
◆ 2008.06 中国矿业大学，电气工程与自动化，学士
主要荣誉
◆ 2019 获得IFAC 1st Workshop on Robot Control最佳青年论文提名奖
◆ 2024 获得第五届中国机器人学术年会最佳海报奖
◆ 2024 获得14th International Conference on Indoor Positioning and Indoor Navigation最佳论文奖(the 5-th place)
代表文章（*通讯作者）
1.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 & Control Letters , Vol. 162, Article ID. 105172, 2022
2.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)
3.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 , Vol. 2, pp. 1-33, 2022 (Regular article)
4.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. 185, Article ID. 106143, pp. 1-11, 2021
5.H. Kong*, M. Shan, S. Sukkarieh, T. Chen, and W. X. Zheng, Kalman Filtering under Unknown Inputs and Norm Constraints, Automatica, Vol. 133, Article ID. 109871, pp. 1-9, 2021
6.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, Article ID. 109122, pp. 1-12,2020 (Regular paper)
7.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)
8.H. Kong* and S. Sukkarieh, An Internal Model Approach to Estimation of Systems with Arbitrary Unknown Inputs, Automatica, Vol. 108, Article ID. 108482, pp. 1-11, 2019 (Regular paper)
9.H. Kong* and S. Sukkarieh, Suboptimal Receding Horizon Estimation via Noise Blocking, Automatica, Vol. 98, pp. 66-75, 2018
10.H. Kong* and S. Sukkarieh, Metamorphic Moving Horizon Estimation, Automatica, Vol. 97, pp. 167-171, 2018
11.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
12.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)
13.H. Kong*, G. Goodwin, and M. Seron, Predictive Metamorphic Control, Automatica, Vol. 49, No. 12, pp. 3670–3676, 2013