Kuu-Young Young

National Yang Ming Chiao Tung University

Papers

Total Citations

H-Index

About

Kuu-Young Young is a robotics researcher whose work focuses on collision-free path planning and task-oriented motion modification for autonomous systems. His most-cited paper, "Collision-free path planning and modification based on task requirements" (1997), addresses a fundamental challenge in robotics: enabling robots to navigate complex environments while adapting their trajectories to meet specific task constraints. This work contributes to the broader field of motion planning by integrating obstacle avoidance with task-driven adjustments, a critical capability for applications in manufacturing, service robotics, and autonomous navigation. While his citation count (6 for this key paper) reflects a focused, niche impact, Young’s research has influenced subsequent studies on real-time path replanning and human-robot interaction. His approach emphasizes practical, computationally efficient solutions for dynamic environments, making his contributions relevant to engineers developing adaptive robotic systems. Young’s work underscores the importance of balancing safety (collision avoidance) with performance (task completion), a duality that remains central to modern robotics research.