Sheng-Wen Shiao

National Yunlin University of Science and Technology

Papers

Total Citations

H-Index

About

Sheng-Wen Shiao is a robotics researcher whose work centers on autonomous navigation and field robotics, with a particular focus on developing intelligent systems for hazardous environments. His most-cited paper, "Motion planning for a landmine-detection robot" (2011, 11 citations), exemplifies his core contribution: designing practical motion planning algorithms that enable robots to safely and efficiently traverse unstructured terrain while performing critical detection tasks. This work addresses the real-world challenge of balancing sensor coverage, obstacle avoidance, and mission reliability—a problem with direct humanitarian applications. While his citation count reflects a focused, application-driven research profile rather than broad impact, Shiao’s contributions are notable for their engineering rigor and potential to save lives. His research bridges the gap between theoretical path planning and deployable robotic systems, making him a key figure in the niche but vital field of humanitarian demining robotics. For students and researchers interested in how robotics can solve pressing societal problems, Shiao’s work offers a compelling example of purpose-driven engineering.