Armin Kohan
Papers
1
Total Citations
22
H-Index
1
About
Armin Kohan’s research lies at the intersection of agricultural robotics and computer vision, with a focus on automating delicate harvesting tasks. His most-cited work, “Robotic Harvesting of Rosa Damascena Using Stereoscopic Machine Vision” (2011, 22 citations), introduces a pioneering system that combines stereo vision to locate flowers in three-dimensional space with a four-degree-of-freedom manipulator and a custom end-effector for gentle, precise picking. This contribution addresses a critical challenge in specialty crop agriculture—replacing manual labor with efficient, non-destructive automation. Kohan’s approach demonstrates how stereoscopic imaging can guide robotic arms in complex, unstructured environments, offering a blueprint for future systems in floriculture and beyond. While his citation count reflects a focused niche, the work’s practical significance is underscored by its integration of vision, kinematics, and end-effector design. Kohan’s research exemplifies how engineering can solve real-world agricultural problems, inspiring further innovation in robotic harvesting for high-value crops.
Research Focus
Key Achievements
Top Papers
- 1Robotic Harvesting of Rosa Damascena Using Stereoscopic Machine Vision22 citations · 2011