Papers
1
Total Citations
3
H-Index
1
About
Yutaka Ueno is a robotics researcher whose work focuses on the intersection of rigid body dynamics and safe, efficient robotic manipulation, particularly for laboratory automation. His key research areas include dual-arm robot motion planning, collision avoidance, and the application of physics-based simulation to real-world bench work. Ueno’s major contribution lies in developing methods that allow dual-arm robots to coordinate complex, collision-free motions in constrained environments, such as laboratory workstations. By leveraging rigid body dynamics, his approach ensures that robots can perform delicate tasks—like handling lab equipment—without damaging themselves or their surroundings. His most-cited paper, "Simulating dual-arm robot motions to avoid collision by rigid body dynamics for laboratory bench work" (2022), has garnered 3 citations, reflecting its niche but growing impact in the field of robotic manipulation. This work is notable for bridging the gap between simulation and practical lab automation, offering a foundation for safer, more autonomous robotic systems in scientific settings. Ueno’s research is particularly valuable for students and engineers seeking to enhance robot dexterity and safety in shared workspaces.
Research Focus
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Top Papers
- 1