Yusuke Bota
Papers
1
Total Citations
3
H-Index
1
About
Yusuke Bota’s research centers on robotic assembly, motion planning, and contact-state modeling, with a focus on enabling robots to perform complex tasks under real-world uncertainties. His most notable contribution is the development of a tree-shaped motion strategy for robust assembly execution, introduced in his 2010 paper. This approach adapts a task sequence tree model—originally designed for manual assembly—to robotic contexts, allowing robots to dynamically transform contact states and recover from errors during assembly. While his citation count (3) remains modest, the conceptual framework he proposed addresses a fundamental challenge in industrial robotics: bridging the gap between rigid pre-programmed motions and the adaptive flexibility needed for reliable part mating. His work is particularly relevant for researchers exploring uncertainty-tolerant manipulation and contact-rich assembly tasks. Bota’s ideas contribute to the broader goal of making robots more autonomous and resilient in manufacturing environments, where precision and adaptability are critical.
Research Focus
Key Achievements
Top Papers
- 1