胡天江博士，中山大学教授、博士生导师，研究方向：先进机器人与人工智能、飞行器控制与信息技术。
【诚挚求贤】与贤者处，善莫大焉！热忱欢迎志同道合者申请中山大学教师、博士后、专职研究员等岗位，加盟ARAI交叉研究团队，该团队现有教师9名，分别来自航空宇航科学与技术、控制科学与工程、计算机科学与技术、智能科学与技术、电子科学与工程等学科，主要从事无人机系统、视觉感知、集群系统、群体智能、学习控制等研究工作。有意者请发送简历至hutj3@ mail.sysu.edu.cn，邮件标题请务必注明为“[团队职位申请]”。详情可关注[http://sai.sysu.edu.cn/]。
【潜心育才】有朋自远方，不亦乐乎！研究团队设有本科生实习岗位和硕士生、博士生名额，热忱欢迎有志青年加入。有意者请发送简历至hutj3@ mail.sysu.edu.cn，邮件标题请务必分别注明为“[本科生实习申请]、[硕士生推免/申请] 、[博士生推免/申请]”。详情可关注http://sai.sysu.edu.cn/。
基本情况Dr. Tianjiang Hu is currently a Full Professor with Sun Yat-sen University. He received his B.Eng and Ph.D degrees in robotics and automation from National University of Defense Technology, respectively. He was a joint Ph.D candidate with Nanyang Technological University of Singapore, financially supported by Chinese Scholarship Council. Dr. Hu and his group have been concentrating on artificial intelligence and collective robotics since then, and are active in scientific projects of bio-inspired robotics, aerial vision perception, collective behaviors and swarm robots. Dr. Hu is a receipt of the RCAR2015 best conference paper award and several scientific project awards as well. He is also serving as members of academic technical committees within the fields of robotics and automation.
教学经历 （部分）2020春季 《智能时代的创新思维》，核心通识课
2020春季 《人工智能》，研究生专业课程
2019秋季《现代控制理论基础》，研究生核心课程
2019秋季《人工智能导论》，本科生专业课程
2019春季《智能时代的创新思维》，核心通识课
2019春季《Matlab语言与应用》，本科生专业课程
2018秋季《现代控制理论基础》，研究生核心课程
2018秋季《人工智能导论》，本科专业课程
2017秋季《现代控制工程》，研究生核心课程
2016秋季《现代控制工程》，研究生核心课程
2015秋季《现代控制工程》，研究生核心课程
2015夏季《现代控制工程》，工程硕士课程
2014秋季《现代控制工程》，研究生核心课程
2014春季《计算智能与控制》，研究生专业课程
2013秋季《现代控制工程》，研究生核心课程
2013秋季《计算智能与控制》，研究生专业课程
2012秋季《人工智能》，研究生核心课程
2012秋季《现代控制工程》，研究生核心课程
2011秋季《人工智能》，研究生核心课程
2011秋季《现代控制工程》，研究生核心课程
2010秋季《人工智能》，研究生核心课程
2010秋季《数值计算方法》，本科生核心课程
科研项目 （部分）2020至今 国防科技创新特区专题项目群，负责人
2020-2023 国家自然科学基金面上项目，负责人
2019-2020 国防科技创新特区前沿创新项目，负责人
2018-2020 国家自然科学基金应急管理项目，核心成员
2019-2021 国家自然科学基金青年基金项目，核心成员
2017-2018 国防科技创新特区前沿创新项目，负责人
2014-2017 校级青年拔尖人才资助基金，负责人
2012-2014 省优秀博士学位论文获得者资助基金，负责人
2011-2013 国家自然科学基金青年基金项目，负责人
2016-2018 国防科技创新特区前沿创新重大培育项目，副总师
2016-2020 装备预先研究项目，核心成员
2011-2015 装备预先研究项目，核心成员
2013-2016 国家自然科学基金面上项目，核心成员
2009-2011 国家自然科学基金青年基金项目，核心成员
2011-2015 国家重大专项，核心成员
2008-2010 国家重大专项，核心成员
2004-2010 国防基础科研项目，核心成员
获奖情况（部分）02/2019 省自然科学一等奖
01/2014 省技术发明二等奖
10/2013 军队科技进步二等奖
06/2015 Best Conference Paper Award of RCAR2015
07/2015 全校首届优秀本科毕业论文指导老师（全校5名）
09/2015 本科教学优秀三等奖
10/2015 研究生教学优秀三等奖
10/2014 校级教学成果一等奖
10/2014 研究生教学优秀二等奖
10/2013 研究生教学优秀三等奖
10/2012 研究生教学优秀三等奖
10/2011 学院教学新秀奖
12/2011 荣立三等功
04/2011 省优秀博士学位论文
08/2008 中国驻新加坡优秀公派留学生
发表论著 (部分)Part II: Aerial swarm robots and vision perception (2014-)
1. Tang D, Fang Q, Shen L, and Hu T*. Onboard Detection-Tracking-Localization. IEEE/ASME Transactions on Mechatronics, in press, 2020.
2. Chang Y, Zhou H, Wang X, Shen L, and Hu T*. Cross-drone Binocular Coordination for Ground Moving Target Tracking in Occlusion-rich Scenarios. IEEE Robotics and Automation Letters, in press, 2020. (Accepted as an oral presentation at IEEE ICRA 2020, May 21-June 4, Paris, France.)
3. Ding J, Wen C, Li G*, Yang X, and Hu T. Sparsity-Inspired Optimal Topology Control of Complex Networks. IEEE Transactions on Network Science and Engineering, in press, 2020.
4. Zhou Y, Tang D, Zhou H, Xiang X, and Hu T*. Vision-based Online Localization and Trajectory Smoothing for Fixed-wing UAV Tracking a Moving Target. IEEE International Conference on Computer Vision (ICCV) Workshops, October 27 to November 2, 2019, Seoul, Korea.
5. Chang Y, Zhou H, Shen L, Fang Q, and Hu T*. Multi-UAV Binocular Intersection With One-Shot Communication: Modelling and Algorithms. IEEE Access, 7: 124902-124913, 2019. DOI: 10.1109/ACCESS.2019.**.
6. Cao Z, Zhao K, Fang Q, Kong W, Tang D, Hu T*. Enabling ~100fps Detection on A Landing Unmanned Aircraft for Its On-ground Vision-based Recovery, The 18th International Conference on Advanced Robotics (ICAR). 2017: Hong Kong, China. p. 407-411.
7. Tang D, Hu T*, et al. Ground Stereo Vision-based Navigation for Autonomous Take-off and Landing of UAVs: A Chan-Vese Model Approach. International Journal of Advanced Robotic Systems, 2016. 13(67): 1-14 | doi: 10.5772/62027.
8. Hu T*, et al. ROS-based ground stereo vision detection: implementation and development. Springer Journal of Robotics and Biomimetics, 2016. 3(14): 1-9. DOI: 10.1186/s40638-016-0046-y. (Presented at RCAR2015 and awarded as the Conference Best Paper)
Part I: Bio-inspired robotics and learning control (2004-)
9. Hu T*, Low K H, Shen L, and Xu X. Effective Phase Tracking for Bioinspired Undulations of Robotic Fish Models by Learning Control. IEEE/ASME Transactions on Mechatronics, 2014, 19(1): 191-200.
10. Low K H*, Hu T, Mohammed S, Tangorra J and Kovac M. Perspectives on Biologically Inspired Hybrid and Multi-modal Locomotion. Bioinspiration & Biomimetics, 2015, 10(2): 020301.
11. Low K H*, Mohammed S, Hu T, Tangorra J and Kovac M. Biorobotics with hybrid or multimodal locomotion. IEEE Robotics & Automation Magazine, 2015, 22(3): 29-31,181.
12. Hu T*, et al. Theoretical insights on Contraction-type Iterative Learning Control for Biorobotic Systems with Preisach Hysteresis. International Journal of Advanced Robotic Systems, 2016, 13(3): 1-8.
13. Hu T*, et al. Biological Inspirations, Kinematics Modeling, Mechanism Design and Experiments on an Undulating Robotic Fin Inspired by Gymnarchus Niloticus. Mechanism and Machine Theory, 2009, 44(3):633-645.
14. Hu T*, et al. Bionic Asymmetry: from Amiiform Fish to Undulating Robotic Fins. Chinese Science Bulletin(科学通报), 2009, 54(4):562-568.
15. Wang G*, Ma X, Hu T and Zhang D. Experimental and analytical study on factors influencing biomimetic undulating fin propulsion performance based on orthogonal experimental design. Advanced Robotics, 2013, 27(8): 597-609.
16. Shen L, Xu X, Zhu H, Hu T. 移动机器人自主控制理论与技术. 科学出版社, 2011.
17. Zhou H, Hu T*, Xie H, Zhang D, and Shen L. Computational Hydrodynamics and Statistical Modeling on Biologically Inspired Undulating Robotic Fins: A Two-dimensional Study. Journal of Bionic Engineering, 2010, 7(1):66-76.
18. Chen J, Hu T*, and Shen L. Learning Control for Biomimetic Undulating Fins: An Experimental Study. Journal of Bionic Engineering, 2010, 7: S191-S198.
19. Zhou H, Hu T*, Xie H, Zhang D, and Shen L. Computational and Experimental Study on Dynamic Behavior of Underwater Robots Propelled by Bionic Undulating Fins. Sci China Tech Sci(中国科学), 2010, 53(11): 2966-2971.
20. Hu T*, Zhu H, Zhou H, and Shen L. Modeling and control on hysteresis nonlinearity in biorobotic undulating fins. IEEE/RSJ International Conference on Intelligent Robotics and Systems (IROS). September 2011, San Francisco, USA, 568-573.
学术兼职? 中国自动化学会数据驱动控制、学习与优化专业委员会委员
? 中国图象图形学会视觉感知智能系统专业委员会委员
? 中国指挥与控制学会集群智能与协同控制专业委员会委员
? 国际仿生工程学会青年委员会委员
? Program Chair, International Workshop on Bionic Engineering, 2012.
? Co-chair, IEEE/RSJ IROS2013 Workshop on Biologically inspired based strategies for hybrid and multi-modal locomotion, 2013.
? Founding member, IEEE RAS Technical Committee on BioRobotics
? 国际仿生工程学会会员、IEEE会员、中国自动化学会会员