Keren Kapach

Papers

Total Citations

232

H-Index

About

Keren Kapach is a leading researcher at the intersection of robotics, computer vision, and agricultural automation. Her work primarily focuses on developing intelligent machine vision systems for agrobotics, with a particular emphasis on fruit harvesting robots. Kapach’s landmark review, "Computer vision for fruit harvesting robots: state of the art and challenges ahead" (2012), has garnered over 228 citations, establishing itself as a foundational reference in the field. This comprehensive survey critically analyzes classical and state-of-the-art vision solutions, identifying key bottlenecks that have limited practical success despite decades of research. Beyond agriculture, Kapach has contributed to mobile robotics perception, notably through her evaluation of grid-map sensor fusion algorithms (2007), where she developed an adaptive fuzzy logic approach for integrating data from cameras, ultrasonic sensors, and laser rangefinders. Her work bridges the gap between theoretical computer vision and real-world robotic deployment, addressing challenges in unstructured environments. Kapach’s research continues to influence the development of more robust, efficient perception systems for autonomous agricultural robots, making her a pivotal figure in advancing precision agriculture and field robotics.