Tatsuhiro Urakawa
Papers
1
Total Citations
7
H-Index
1
About
Tatsuhiro Urakawa is a robotics researcher whose work focuses on bridging the gap between human intuition and robotic precision, particularly in industrial automation. His primary research areas include robot teaching, motion planning, and the application of augmented and virtual reality (AR/VR) technologies to human-robot interaction. Urakawa’s most notable contribution is his 2021 paper, "Offline Direct Teaching for a Robotic Manipulator in the Computational Space," which has garnered 7 citations. In this work, he proposes a novel method that allows operators to teach robotic manipulators tasks in a virtual computational space, eliminating the need for physical contact or complex programming. This approach leverages AR/VR to make robot teaching more intuitive, safe, and efficient, addressing a critical bottleneck in industrial production where robots must be quickly reprogrammed for new tasks. By enabling offline, direct teaching, Urakawa’s research reduces downtime and lowers the barrier for non-expert users to deploy robots. His work is particularly impactful for small and medium-sized enterprises seeking flexible automation solutions. Urakawa’s contributions represent a significant step toward making industrial robots more accessible and adaptable in dynamic manufacturing environments.
Research Focus
Key Achievements
Top Papers
- 1