Ya‐Chun Chang
Papers
8
Total Citations
115
H-Index
6
About
Ya-Chun Chang is a leading researcher in autonomous mobile robotics, with a primary focus on path planning, collision avoidance, and dead-lock resolution for wheeled mobile robots operating in indoor and obstructed environments. Her major contributions center on the development of hybrid path planning algorithms that integrate potential field methods with sensor-based navigation, enabling robots to generate safe, smooth trajectories without a priori knowledge of their surroundings. Chang’s work is distinguished by its practical application of laser range finders and vision systems, allowing for real-time obstacle detection and dynamic decision-making. Her most cited paper, "On‐line path planning strategy integrated with collision and dead‐lock avoidance schemes for wheeled mobile robot in indoor environments" (2008, 38 citations), exemplifies her approach to solving the local minima problem inherent in potential field methods. Additionally, her research on simultaneous free space locating and teleoperation via haptic devices has advanced the field of human-robot interaction. With a cumulative citation count exceeding 115, Chang’s contributions have significantly influenced the design of autonomous vehicles and multi-robot systems, making her a key figure in the evolution of intelligent, sensor-driven navigation.
Research Focus
Key Achievements
Top Papers
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- 5Dynamic Decision Making of Mobile Robot under Obstructed Environment9 citations · 2006
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- 7Stable mobile robots teleoperation via Potential Field method4 citations · 2008
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