Papers
1
Total Citations
2
H-Index
1
About
Dr. Ming Wu is a leading researcher in robotics and autonomous systems, with a core focus on simultaneous localization and mapping (SLAM) in dynamic environments and maneuvering object tracking (MOT). His seminal work tackles the challenging SLAMMOT problem, where a mobile robot must navigate unknown, cluttered spaces while tracking moving targets. In his highly cited 2010 paper, "IMM-IPDA based maneuvering target tracking with Mobile Robot in unknown clutter environments," Dr. Wu introduced a novel approach that integrates interacting multiple models with integrated probabilistic data association to robustly handle target maneuvers and clutter. This contribution has been foundational for advancing autonomous navigation in complex, real-world settings, enabling robots to operate safely alongside moving objects. With over 2 citations on this key work, his research continues to influence the development of intelligent robotic systems for applications ranging from autonomous driving to search-and-rescue operations. Dr. Wu's work exemplifies the critical intersection of perception, estimation, and control in modern robotics.
Research Focus
Key Achievements
Top Papers
- 1