Naoya Mimura
Papers
2
Total Citations
17
H-Index
2
About
Naoya Mimura is a researcher whose work lies at the intersection of robotics, haptics, and contact mechanics, with a particular focus on how robots perceive and interact with their physical environment. His primary research area is the identification of contact conditions—the determination of contact type, position, and force—between a grasped object and its surroundings, a critical challenge for autonomous robotic assembly and manipulation. Mimura’s most cited paper, “Identification of contact conditions from contaminated data of contact moment” (2003, 15 citations), introduces a method to reliably extract contact information from noisy force sensor data, directly addressing real-world sensor imperfections. He further advanced this line of inquiry in “Identification of contact conditions from position and velocity information” (2004, 2 citations), proposing an algorithm that identifies soft finger and line contact types using only kinematic data, thereby reducing reliance on force sensing. While his citation counts reflect a niche but foundational contribution, Mimura’s work is notable for its practical focus on robust sensing under uncertainty—a key enabler for precise, force-sensitive tasks in industrial and service robotics. His research continues to inform the development of more adaptive and perceptive robotic hands.
Research Focus
Key Achievements
Top Papers
- 1
- 2