Yoni Gozlan
Papers
1
Total Citations
2
H-Index
1
About
Yoni Gozlan is a roboticist whose work bridges perception and locomotion for extreme environments, with a focus on enabling multi-limbed climbing robots to traverse unstructured, hazardous terrain. His key research areas include robot perception, rock crack detection, and autonomous grasping for planetary exploration. In his most-cited work, "A Skeleton-Based Approach For Rock Crack Detection Towards A Climbing Robot Application" (2023), Gozlan developed a novel perception pipeline that identifies suitable grasp locations on irregular rock surfaces—a critical capability for robots like ReachBot, which are designed to explore scientifically valuable but inaccessible cave environments. This contribution directly addresses the limitations of conventional wheeled rovers by providing climbing robots with the visual intelligence needed to detect and exploit natural features for secure anchoring. Although his citation count is still growing, Gozlan’s work is foundational for the emerging field of extreme-terrain robotics, offering a practical solution for autonomous exploration of Martian lava tubes or Earth’s deep caves. His skeleton-based detection method stands out for its computational efficiency and robustness, making it a promising tool for future space missions.
Research Focus
Key Achievements
Top Papers
- 1