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About

Yi-Ting Chung is a leading researcher in robotics, specializing in collision avoidance, redundant manipulator control, and human-robot collaboration. Her major contributions center on developing real-time, whole-arm obstacle avoidance strategies for 7-degree-of-freedom (DoF) robot manipulators, particularly for factory automation and safe human-robot co-works. Her most-cited work, “Repulsive reaction vector generator for whole-arm collision avoidance of 7-DoF redundant robot manipulator” (2014, 23 citations), introduces a novel repulsive reaction vector generator (RVG) that enables S-R-S type manipulators to avoid obstacles along their entire arm. She further advanced this with a dynamic multi-obstacle avoidance method using repulsive vector summation (2015, 10 citations), enhancing safety in shared workspaces. In “Model-based 3D object recognition and fetching by a 7-DoF robot with online obstacle avoidance” (2015, 14 citations), she integrated 3D vision for autonomous object fetching, demonstrating practical impact in industrial settings. Chung’s work bridges theoretical control algorithms with real-world applications, making her a key contributor to safer, more autonomous robotic systems.