Yusuke Dosho
Papers
2
Total Citations
8
H-Index
2
About
Yusuke Dosho’s research lies at the intersection of robotics, tactile sensing, and computer vision, with a focus on enabling robots to perceive and interact with their environments through touch. His major contributions center on developing methods for extracting geometric and edge information from objects using optical three-axis tactile sensors, often integrated with binocular vision systems. In his most cited work, “Edge Extraction using Image and Three-Axis Tactile Data” (2011, 6 citations), Dosho demonstrated how tactile and visual data can compensate for each other’s limitations, allowing robots to acquire real-scale geometrical data. His follow-up study, “Geometrical Data Extraction Using Interaction Between Objects and Robotic Fingers Equipped with Three-axis Tactile Sensors” (2012, 2 citations), explored how robots can actively manipulate objects—pushing, pulling, or turning them—to infer spatial relationships, a tactic inspired by human haptic exploration. Although his citation counts are modest, Dosho’s work is notable for its early and practical integration of tactile and visual sensing in robotic manipulation, contributing to foundational techniques in sensor fusion and autonomous object recognition.
Research Focus
Key Achievements
Top Papers
- 1Edge Extraction using Image and Three-Axis Tactile Data6 citations · 2011
- 2