|Danwei Wang received his Ph.D and MSE degrees from the University of Michigan, Ann Arbor in 1989 and 1984, respectively. He received his B.E degree from the South China University of Technology, China in 1982. Since 1989, he has been with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. Currently, he is professor and Head, Division of Control and Instrumentation. He is a senator in NTU Academics Council. He has served as general chairman, technical chairman and various positions in international conferences, such as International Conference on Control, Automation, Robotics and Vision (CARCVs) and IROS conferences. He is an associate editor for the International Journal of Humanoid Robotics and served as an associate editor of Conference Editorial Board, IEEE Control Systems Society from 1998 to 2005. He was a recipient of Alexander von Humboldt fellowship, Germany. His research interests include robotics, control theory and applications.|
- Yufeng Yue, ZHAO, Chunyang, LI, Ruilin, YANG, Chule, ZHANG, Jun, WEN, Mingxing, WANG, Yuanzhe, WANG, Danwe. (2020). A Hierarchical Framework for Collaborative Probabilistic Semantic Mapping. 2020 International Conference on Robotics and Automation (ICRA).
- Yufeng Yue, YANG, Chule, ZHANG, Jun, WEN, Mingxing, WU, Zhenyu, WANG, Danwei. (2020). Day and Night Collaborative Dynamic Mapping in Unstructured Environment Based on Multimodal Sensors. 2020 International Conference on Robotics and Automation.
- Yufeng Yue, Chule Yang, P. G. C. N. S, and Danwei Wang. (2020). A General Multi-level Framework for Distributed Multi-Robot 3-D Map Fusion using Heterogeneous Sensors Under Constrained Environment. IEEE Systems Journal, .
- Wang Y, Shan M, Wang D. (2019). Motion Capability Analysis for Multiple Fixed-Wing UAV Formations with Speed and Heading Rate Constraints. IEEE Transactions on Control of Network Systems, .
- Yuanzhe Wang, Mao Shan, Danwei Wang. (2019). A Comparative Analysis on Rigid and Flexible Formations of Multiple Differential-Drive Mobile Robots: A Motion Capability Perspective. The 2019 European Control Conference.