Hung-Yao Hsu
Papers
9
Total Citations
261
H-Index
6
About
Hung-Yao Hsu is a pioneering researcher at the intersection of agricultural robotics, autonomous navigation, and medical device engineering. His most impactful work addresses the critical challenge of automating fruit harvesting, with his landmark 2011 review on harvesting methods accumulating 185 citations—a foundational resource for the field. Hsu’s contributions extend to developing intelligent path planning algorithms; his 2012 paper on accelerated particle swarm optimization (PSO) for faster path planning (28 citations) and his 2011 concept integrating PSO with vSLAM for autonomous mobile robots (10 citations) demonstrate his systematic approach to enabling cost-effective, multi-agent robotic systems. In agricultural perception, he advanced citrus fruit detection through segmentation methods and Fisher linear discriminant analysis, pushing toward automated ripeness assessment. Notably, Hsu also ventured into biomedical robotics, reviewing locomotion systems for self-propelled endoscopes and proposing a novel design, as well as investigating carbon nanotube-based pressure micro-sensors for manometric catheters. His diverse portfolio—spanning agricultural automation, swarm robotics, and medical diagnostics—reflects a career dedicated to solving real-world inefficiencies through intelligent, sensor-driven robotic systems, making him a key figure in applied robotics research.
Research Focus
Key Achievements
Top Papers
- 1
- 2A faster path planner using accelerated particle swarm optimization28 citations · 2012
- 3Study on citrus fruit image data separability by segmentation methods15 citations · 2011
- 4Autonomous mobile robot system concept based On PSO path planner and vSLAM10 citations · 2011
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- 9Study on citrus fruit image using fisher linear discriminant analysis2 citations · 2011