Lo-Wei Kuo

National Yang Ming Chiao Tung University

Papers

Total Citations

H-Index

About

Lo-Wei Kuo is a roboticist whose work centers on motion planning and control for high-degree-of-freedom manipulators, with a particular focus on practical, workspace-driven solutions. His most cited paper, "Potential-based path planning for robot manipulators" (2005, 12 citations), introduces a novel algorithm that circumvents the computational expense of traditional configuration-space methods by leveraging workspace information directly. This contribution is significant for enabling real-time, collision-free path planning without costly preprocessing, a critical advancement for adaptive robotics in unstructured environments. Kuo’s approach exemplifies a shift toward efficiency and directness in robotic motion, making his work a valuable reference for researchers tackling the challenges of high-DOF systems. Though his citation count is modest, the impact of his ideas is evident in subsequent studies that build on potential-field methods for practical manipulation tasks. For students and researchers exploring path planning, Kuo’s work offers a clear, implementable alternative to more complex c-space techniques, highlighting the enduring value of elegant, problem-driven engineering in robotics.