Chung‐Liang Chang
Papers
21
Total Citations
160
H-Index
7
About
Chung-Liang Chang is a pioneering researcher at the intersection of agricultural robotics, computer vision, and intelligent automation systems. His work spans two decades of innovation, focusing on developing smart robotic solutions to address critical challenges in modern farming, including labor shortages, aging workforces, and the growing demand for precision agriculture. Chang's most influential contribution — a vision-guided smart poultry robot for free-range egg collection (2020, 38 citations) — exemplifies his ability to translate real-world agricultural problems into sophisticated autonomous systems. His early development of dual robotic arm systems using binocular vision (2013, 25 citations) established foundational methodologies that continue to inform his later work, including an AI-powered strawberry harvesting arm (2024, 12 citations) and a deep learning-guided farming robot capable of selective spraying (2023, 12 citations). Beyond crop and poultry applications, Chang has explored bioinspired robotics, including a snake-bone irrigation arm and a mimosa robot utilizing shape memory alloys. His integration of UWB and RTK-GNSS positioning technologies for seamless farm navigation further demonstrates his interdisciplinary reach. With over 130 cumulative citations, Chang's body of work represents a comprehensive and impactful vision for the automated farm of the future.
Research Focus
Key Achievements
Top Papers
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- 2Development of dual robotic arm system based on binocular vision25 citations · 2013
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- 5Zigbee-assisted mobile robot gardener10 citations · 2013
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