Papers
20
Total Citations
1,193
H-Index
13
About
Chieh-Chih Wang is a leading researcher in robotics, whose work fundamentally advances how robots perceive and navigate dynamic environments. His primary research areas encompass simultaneous localization and mapping (SLAM), moving object detection and tracking, and multi-robot cooperation. Wang’s most significant contribution is the pioneering concept of SLAMMOT—Simultaneous Localization, Mapping and Moving Object Tracking—which he established in a landmark 2007 paper that has garnered 592 citations. This framework mathematically integrates SLAM with dynamic object tracking, a critical step for robots operating in real-world, changing spaces. His earlier 2003 paper on the same theme (252 citations) laid the groundwork for this field. Beyond SLAMMOT, Wang has made notable contributions to solving practical sensing challenges, such as characterizing mirror reflections in LIDAR (53 citations) and developing novel 3D mapping techniques using 2D laser scanners and stereo cameras. He has also advanced multi-robot systems by showing how moving objects can be exploited for cooperative localization and tracking, rather than being treated as mere outliers. With a career spanning foundational theory and applied sensor solutions, Wang’s work is essential reading for any roboticist tackling autonomy in the messy, dynamic world.
Research Focus
Key Achievements
Top Papers
- 1Simultaneous Localization, Mapping and Moving Object Tracking592 citations · 2007
- 2
- 3On Solving Mirror Reflection in LIDAR Sensing53 citations · 2010
- 4
- 5
- 6
- 7Vision-based cooperative simultaneous localization and tracking28 citations · 2011
- 8Simultaneous egomotion estimation, segmentation, and moving object detection26 citations · 2011
- 9Feasibility grids for localization and mapping in crowded urban scenes23 citations · 2011
- 10