Jiankun WANG , IEEE Senior Member, Shenzhen Overseas High-level Talent, Assistant Professor and Associate Researcher of the Department of Electronic and Electrical Engineering, Southern University of Science and Technology. His research areas include robotics and automation, motion and path planning, and human-robot interaction. He serves as the early career advisory board member of IEEE/CAA Journal of Automatica Sinica (JCR Q1), the associate editor of Biomimetic Intelligence and Robotics, the senior committee member of IEEE ICRA, IEEE ROBIO, IEEE ICIA and other international conferences, and the reviewer of many international journals.
2015.8-2019.7: The Chinese University of Hong Kong, Department of Electronic Engineering, Ph.D.
2011.9-2015.6: Shandong University, Automation (Excellent Class), Bachelor
2022.7-present: Southern University of Science and Technology, Department of Electronic and Electrical Engineering, Assistant Professor
2020.9-2022.6: Southern University of Science and Technology, Department of Electronic and Electrical Engineering, Research Assistant Professor
2019.8-2020.8: The Chinese University of Hong Kong, Department of Electronic Engineering, Postdoctoral Fellow
Robotics and Automation, Motion and Path Planning, Robot Manipulation, Human-Robot Interaction, Artificial Intelligence
2022 IEEE Senior Member
2021 Shenzhen Overseas High-level Talent (Class C)
2019 CUHK Reaching Out Award
2018 CUHK Global Scholarship Program for Research Excellence (Stanford)
2016 Best Innovative Award at Haixia & HK Macau Innovative Competition
2015 Hong Kong Ph.D. Fellowship Scheme
[J10] Wang, J., Li, T., Li, B., & Meng, M. Q. H. (2022). GMR-RRT*: Sampling-based Path Planning Using Gaussian Mixture Regression. IEEE Transactions on Intelligent Vehicles.
[J9] 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.
[J8] 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.
[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., Li, B., & Meng, M. Q. H. (2021). Kinematic Constrained Bi-directional RRT with Efficient Branch Pruning for robot path planning. Expert Systems with Applications, 170, 114541.
[J5] 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.
[J4] 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.
[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. (2020). Optimal path planning using generalized voronoi graph and multiple potential functions. IEEE transactions on industrial electronics, 67(12), 10621-10630.
[J1] Wang, J., Chi, W., Shao, M., & Meng, M. Q. H. (2019). Finding a high-quality initial solution for the RRTs algorithms in 2D environments. Robotica, 37(10), 1677-1694.
Dr. WANG Jiankun's research group is currently recruiting research assistant professors, postdoctoral fellows, research assistants, PhD students, master students, and undergraduate interns. At the same time, visiting scholars and exchange students from domestic and foreign universities and research institutions are welcome. Please feel free to contact: wangjk @sustech.edu.cn