Takeshi Shimamoto
Papers
2
Total Citations
5
H-Index
2
About
Takeshi Shimamoto is advancing the frontier of robotic dexterity, with a focused research program on vision-based in-hand manipulation (IHM). His work tackles one of robotics' most persistent challenges: enabling a robotic hand to reorient and reposition a grasped object without dropping it. Shimamoto’s key contribution is the development of a novel gripper equipped with active surfaces—essentially belts integrated into the fingers—that, combined with real-time contact point prediction from vision, allows for large-range rotation and translation of variously shaped and sized objects. This approach overcomes the limited range of motion typical of traditional grippers. His most cited papers, from 2023, have already garnered several citations, signaling growing interest in his practical, hardware-software integrated solution. By directly addressing the challenge of achieving stable, large-angle in-hand rotation, Shimamoto’s work is a significant step toward more versatile, human-like robotic hands capable of complex assembly and manipulation tasks.
Research Focus
Key Achievements
Top Papers
- 1
- 2