Masayuki Tsuda

Papers

Total Citations

H-Index

About

Masayuki Tsuda is a pioneering researcher in robotic assembly and manipulation, whose work focuses on bridging the gap between human demonstration and autonomous robot execution. His key research areas include assembly-task modeling, contact-state reasoning, and multi-agent motion planning for manufacturing. Tsuda’s major contribution lies in developing methods to generate assembly-task models directly from human demonstration, enabling robots to learn complex manipulation sequences by observing human actions. His seminal 2000 paper, “Generation of an Assembly-Task Model Analyzing Human Demonstration” (8 citations), introduced a novel approach that segments demonstrated data into contact-state transitions, pairing operational coordinates with local models to create reusable task representations. Earlier, his 1996 work on “Assembly Motion Planning Based on Some Local Contact State Transition Models” (2 citations) pioneered the use of multi-agent systems for contact-state manipulation, modeling 3-DOF transition networks with motion constraints. Though his citation counts are modest, Tsuda’s research laid foundational groundwork for learning from demonstration in robotics—a field that has since exploded. His emphasis on local contact-state models and human-guided task generation remains influential for researchers developing intuitive, adaptable robotic assembly systems.