Taku Kinoshita
Papers
3
Total Citations
17
H-Index
3
About
Taku Kinoshita’s research sits at the intersection of robotic manipulation, autonomous navigation, and construction automation, with a focus on enabling robots to operate with precision in complex, real-world environments. His work addresses critical challenges in assembly and building envelope construction, where tolerances below 1 mm are essential. In his highly cited 2019 paper on grasped element position recognition, Kinoshita developed methods for robotic pose adjustment during the assembly of fully prefabricated 2D modules, demonstrating how computer-designed objects can be reliably handled by robotic arms. He has also advanced robust localization for service robots, showing how architectural floor plans and depth cameras can replace traditional map-building for autonomous navigation—a contribution that simplifies deployment in indoor settings. Additionally, his design of a hexapod-shaped passive damping system for cable robots used in curtain wall module installation highlights his innovative approach to coupling and end-effector control. With over 17 citations across his most prominent works, Kinoshita’s research is directly shaping the next generation of construction robots, making high-accuracy assembly and autonomous navigation more practical and scalable.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robust Localization with Architectural Floor Plans and Depth Camera7 citations · 2020
- 3