Shun Ogiwara
Papers
1
Total Citations
2
H-Index
1
About
Shun Ogiwara is a robotics researcher specializing in tactile sensing systems for dexterous manipulation, with a particular focus on multi-fingered robotic hands. His key research areas include distributed tactile sensor design, data-efficient acquisition methods, and sensorimotor integration for robotic grasping. Ogiwara’s major contribution is the development of a load-sensitive data acquisition framework that enables tactile sensor systems to achieve both wide-range sensitivity and high-resolution feedback while minimizing data transmission requirements—a critical challenge for real-time robotic control. His most cited work, “Load-sensitive Data Acquisition for a Tactile Sensor System of Multi-fingered Robotic Hands” (2022), has garnered 2 citations, demonstrating early impact in this niche field. By addressing the trade-off between data size and sensing fidelity, Ogiwara’s approach paves the way for more responsive and compact tactile systems in prosthetic and industrial robotics. His work is notable for its practical focus on reducing communication bandwidth without sacrificing sensor performance, a key enabler for future dexterous robots that require rich tactile feedback.
Research Focus
Key Achievements
Top Papers
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