Hirotoshi Ubata
Papers
1
Total Citations
11
H-Index
1
About
Hirotoshi Ubata is a researcher whose work sits at the intersection of robotics, sensor technology, and intelligent automation. His primary contributions focus on developing robust manipulation systems, particularly for bin-picking tasks—a critical challenge in industrial automation. Ubata’s most cited work, “Robust bin-picking system using tactile sensor” (2019, 11 citations), introduces a novel approach that integrates tactile and vision sensors to enhance object recognition and grasping reliability. By employing fast template-matching for object localization and tactile feedback to verify grasp success, his system significantly reduces failure rates in unstructured environments. This dual-sensor methodology represents a practical advancement for manufacturing and logistics, where precision and adaptability are paramount. Ubata’s research underscores the importance of sensory fusion in robotics, offering a scalable solution for automated handling of irregular objects. His work continues to influence the development of more resilient and context-aware robotic systems, bridging the gap between theoretical sensor design and real-world industrial application.
Research Focus
Key Achievements
Top Papers
- 1Robust bin-picking system using tactile sensor11 citations · 2019