Yin-Tien Wang
Papers
35
Total Citations
264
H-Index
9
About
Yin-Tien Wang is a prominent robotics researcher whose work spans mobile robotics, computer vision, and autonomous systems. His most celebrated contribution lies at the intersection of visual Simultaneous Localization and Mapping (vSLAM) and moving object detection — areas where he has developed innovative algorithms enabling robots to map their environments while simultaneously identifying and tracking dynamic objects. His 2010 paper on visual SLAM for humanoid robots, garnering 44 citations, remains his most influential work, introducing a novel rigid-body moving object detection framework that advanced the field considerably. Wang has also made significant contributions to wheeled mobile robot control, combining fuzzy logic with visual odometry for sequentially switched systems, and to multi-robot coordination, including obstacle avoidance strategies and soccer robot game planning. His earlier work on robot-assisted surface finishing and grinding path planning demonstrates a breadth extending into industrial automation. More recently, his research has embraced Industry 4.0 themes, with vision-based collaborative robots featuring multi-camera localization systems. With over 150 cumulative citations across a diverse portfolio, Wang's career reflects a sustained commitment to bridging perception, control theory, and practical robotic applications across both service and manufacturing domains.
Research Focus
Key Achievements
Top Papers
- 1Visual SLAM and Moving-object Detection for a Small-size Humanoid Robot44 citations · 2010
- 2
- 3Path planning for robot-assisted grinding processes17 citations · 2002
- 4
- 5Dynamic Object Tracking Control for a Non-Holonomic Wheeled Autonomous Robot14 citations · 2009
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- 9Development of a polishing robot system9 citations · 2003
- 10AIN‐Based Action Selection Mechanism for Soccer Robot Systems8 citations · 2009