Shogo MIYATA
Papers
1
Total Citations
11
H-Index
1
About
Shogo Miyata is a robotics researcher whose work focuses on the mathematical foundations of motion control, particularly for redundant robotic systems. His most-cited paper, "Analytical formula for the pseudoinverse and its application for singular path tracking with a class of redundant robotic limbs" (2017), has garnered 11 citations—a notable achievement for a specialized theoretical contribution. In this work, Miyata derived an explicit analytical expression for the pseudoinverse of the Jacobian matrix, a critical tool in robotics for solving inverse kinematics. This formula enables precise path tracking even when robotic limbs pass through singular configurations, where conventional methods often fail. By providing a closed-form solution, his research offers a computationally efficient and robust alternative to numerical approaches, with direct applications in industrial manipulators, surgical robots, and assistive devices. Miyata’s contribution bridges a gap between abstract linear algebra and practical robotic control, making singularities less of a barrier for real-time motion planning. His work exemplifies how deep theoretical insight can lead to tangible improvements in robot dexterity and reliability, marking him as a promising voice in the field of robotic kinematics and control.
Research Focus
Key Achievements
Top Papers
- 1