Cheng Chang
Papers
2
Total Citations
31
H-Index
2
About
Cheng Chang’s research lies at the intersection of robotics, real-time sensor fusion, and autonomous navigation. His most influential work focuses on enabling mobile robots to track moving objects while simultaneously avoiding obstacles—a critical challenge in dynamic environments. In his highly cited 2006 paper, “A Moving Object Tracked by A Mobile Robot with Real-Time Obstacles Avoidance Capacity” (20 citations), Chang introduced a robotic platform that integrates a visual CCD camera for object tracking with a laser-based range sensor for obstacle detection. This dual-sensor approach allowed the robot to maintain pursuit of a moving target while autonomously navigating around barriers in real time. A companion paper, “Tracking a moving object with real-time obstacle avoidance” (11 citations), further detailed the modular SafeBot system’s design and methodology. Chang’s contributions are notable for their practical emphasis on sensor fusion and real-time decision-making, laying groundwork for applications in surveillance, service robotics, and autonomous vehicles. His work demonstrates how combining vision and range data can create robust, responsive robotic systems—a foundational concept that continues to influence researchers developing intelligent, environment-aware machines.
Research Focus
Key Achievements
Top Papers
- 1
- 2Tracking a moving object with real-time obstacle avoidance11 citations · 2006