Papers
11
Total Citations
676
H-Index
8
About
Wesley Au is a leading researcher in agricultural robotics, with a primary focus on developing intelligent, soft robotic systems for fruit harvesting. His work addresses the critical challenge of feeding a growing population amid labor shortages, and he is best known for his contributions to the design and control of harvesting robots, particularly for apples. Au’s most influential work, the 2022 review "Intelligent robots for fruit harvesting: recent developments and future challenges," has garnered 272 citations, establishing him as a key voice in the field. He has made significant technical advances in soft robotic grippers, including a robust design for apple harvesting (140 citations) and a bio-inspired soft bistable actuator (35 citations). Au is also the lead developer of the Monash Apple Retrieving System, a comprehensive platform that integrates machine vision, tactile sensing, and deep learning to handle real-world challenges like leaf interference and branch obstacles. His research on geometry-aware grasping estimation (113 citations) and learning-based slip detection (29 citations) has pushed the boundaries of robotic manipulation in unstructured orchard environments. Through his innovative and practical approach, Au is helping to bridge the gap between laboratory prototypes and viable commercial harvesting solutions.
Research Focus
Key Achievements
Top Papers
- 1
- 2Development and evaluation of a robust soft robotic gripper for apple harvesting140 citations · 2022
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- 4Bio-inspired soft bistable actuator with dual actuations35 citations · 2021
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- 9The Monash Apple Retrieving System5 citations · 2022
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