师资
王建坤,南方科技大学电子与电气工程系助理教授,博士生导师,IEEE Senior Member,深圳市海外高层次人才。
目前,主持国家自然科学基金青年基金、中国科协青年人才托举工程、深圳市优秀科技创新人才培养项目、深圳市稳定支持面上项目,参与科技部重点研发计划、香港创新科技署创新科技项目等省部级项目。研究领域包括机器人运动与路径规划、人机交互、人工智能、机器人系统集成与应用示范,在IEEE TASE、IEEE TIV、IEEE RAL等国际期刊上发表论文30余篇,在IEEE ICRA、IEEE/RSJ IROS等领域旗舰会议上发表论文20余篇,2篇论文入选ESI高被引论文;申请专利20余项;获得2022 IET Cyber-Systems and Robotics Premium Award。担任IEEE Trans. on Automation Science and Engineering副主编、IEEE Trans. on Intelligent Vehicles副主编、IEEE Robotics and Automation Letters副主编、International Journal of Robotics and Automation副主编、中国科技期刊卓越行动计划Biomimetic Intelligence and Robotics副主编、IEEE/CAA Journal of Automatica Sinica青年编委、IEEE ICRA、IEEE ROBIO等国际会议高级委员会成员。
教育经历
2018.7-2018.12:斯坦福大学,计算机系,访问学生
2015.8-2019.7:香港中文大学,电子工程学系,博士
2011.9-2015.6:山东大学,自动化(卓越班),学士
工作经历
2022.7至今:南方科技大学,电子与电气工程系,助理教授
2020.9-2022.6:南方科技大学,电子与电气工程系,研究助理教授
2019.8-2020.8:香港中文大学,电子工程学系,博士后
研究简介
机器人运动与路径规划、智能机器人系统、人机交互、具身智能
学术任职
Program Chair, ICBIR 2022, 2023
Associate Editor, IEEE Transactions on Automation Science and Engineering (2023.11-)
Associate Editor, IEEE Transactions on Intelligent Vehicles (2023.11-)
Associate Editor, IEEE Robotics and Automation Letters (2022.9-)
Associate Editor, International Journal of Robotics and Automation (2023.5-)
Early Career Editorial Board, IEEE/CAA Journal of Automatica Sinica (2021.11-)
Associate Editor, Biomimetic Intelligence and Robotics (2021.1-)
Associate Editor, Intelligence & Robotics (2022.8-)
Senior Program Committee, IEEE ICRA 2021, IEEE ROBIO 2019, IEEE ICIA 2016-2019
Technical Committee, IEEE ROBIO 2021, 2022
所获荣誉
2023年 中国科协青年人才托举工程
2022年 IEEE ROBIO Robotica Best Paper Finalist
2022年 IET Cyber-Systems and Robotics Premium Award
2022年 IEEE Senior Member
2021年深圳市海外高层次人才(孔雀计划C类)
2019年香港中文大学外出交流奖学金
2018年香港中文大学全球卓越研究奖学金
2016年海峡两岸与港澳地区创新创业大赛--最佳创新奖
2015年香港特区政府博士奖学金
代表文章
[J10] Sun, Z., Lei, B., Xie, P., Liu, F., Gao, J., Zhang, Y., & Wang, J. (2024). Multi-Risk-RRT: An Efficient Motion Planning Algorithm for Robotic Autonomous Luggage Trolley Collection at Airports. IEEE Transactions on Intelligent Vehicles.
[J9] Meng, F., Chen, L., Ma, H., Wang, J., & Meng, M. Q. H. (2023). Learning-Based Risk-Bounded Path Planning Under Environmental Uncertainty. IEEE Transactions on Automation Science and Engineering.
[J8] Xu, P., Chen, Z., Wang, J., & Meng, M. Q. H. (2023). Learning to Predict Diverse Stable Placements for Extrinsic Manipulation on a Support Plane. IEEE Transactions on Cognitive and Developmental Systems.
[J7] Wang, J., Liu, J., Chen, W., Chi, W., & Meng, M. Q. H. (2021). Robot path planning via neural-network-driven prediction. IEEE Transactions on Artificial Intelligence, 3(3), 451-460.
[J6] Wang, J., Chi, W., Li, C., & Meng, M. Q. H. (2021). Efficient robot motion planning using bidirectional-unidirectional RRT extend function. IEEE Transactions on Automation Science and Engineering, 19(3), 1859-1868.
[J5] Wang, J., Jia, X., Zhang, T., Ma, N., & Meng, M. Q. H. (2021). Deep neural network enhanced sampling-based path planning in 3D space. IEEE Transactions on Automation Science and Engineering, 19(4), 3434-3443.
[J4] Wang, J., & Meng, M. Q. H. (2021). Real-time decision making and path planning for robotic autonomous luggage trolley collection at airports. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52(4), 2174-2183.
[J3] Wang, J., Chi, W., Li, C., Wang, C., & Meng, M. Q. H. (2020). Neural RRT*: Learning-based optimal path planning. IEEE Transactions on Automation Science and Engineering, 17(4), 1748-1758.
[J2] Wang, J., Meng, M. Q. H., & Khatib, O. (2020). EB-RRT: Optimal motion planning for mobile robots. IEEE Transactions on Automation Science and Engineering, 17(4), 2063-2073.
[J1] Wang, J., & Meng, M. Q. H. (2020). Optimal path planning using generalized voronoi graph and multiple potential functions. IEEE transactions on industrial electronics, 67(12), 10621-10630.
招聘信息
王建坤博士课题组目前招聘研究助理教授、博士后、科研助理,招收博士生、硕士生、本科实习生,同时欢迎来自国内外大学及科研机构的访问学者和交流学生。
有兴趣者请联系:wangjk@sustech.edu.cn