Eugene Kok
Papers
5
Total Citations
104
H-Index
4
About
Eugene Kok is a robotics researcher at Monash University whose work is helping to solve one of agriculture’s most pressing challenges: the global shortage of fruit-picking labour. His research centres on robotic vision systems for selective apple harvesting, with a particular focus on enabling robots to operate in complex, unstructured orchard environments rather than requiring perfectly manicured canopies. Kok’s major contributions include developing deep learning models for obscured tree branch segmentation and 3D reconstruction, creating orientation estimators for occluded apples to improve grasping success, and designing systems for reconstructing thin trellis wires under occlusion. His most cited paper (37 citations) addresses the critical problem of helping harvesting robots avoid hard obstacles like branches, while his 32-citation review of the Monash Apple Retrieving System provides a comprehensive analysis of system intelligence and harvesting performance. Kok’s work on the Monash Apple Retrieving System has been particularly notable, demonstrating practical progress toward the long-sought goal of reliable, selective robotic fruit harvesting that could reduce labour costs and food waste in orchards worldwide.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4The Monash Apple Retrieving System5 citations · 2022
- 5