Atsushi Tsuda
Papers
2
Total Citations
10
H-Index
2
About
Atsushi Tsuda is a pioneering researcher in the field of humanoid robotics, with a specific focus on autonomous object manipulation and 3D model construction. His work centers on enabling humanoid robots to independently perceive and interact with their environment, particularly in household settings. Tsuda’s major contributions lie in developing integrated planning systems that combine grasp, motion, and view planning for dual-arm coordination. His most cited paper (2012, 8 citations) introduces an "on-line next best grasp selection" method, allowing robots to dynamically re-grasp objects to build complete 3D geometric models without prior knowledge. This work addresses a critical challenge: how robots can autonomously acquire the shape information needed for object recognition and management. His earlier foundational paper (2011, 2 citations) established the framework for this approach, proposing multi-view observation through re-grasping strategies. While his citation counts are modest, Tsuda’s research is notable for tackling the practical, real-world problem of autonomous model acquisition—a key step toward truly capable service robots. His dual-arm coordination techniques represent important progress in making humanoid robots more self-sufficient in unstructured environments, paving the way for future advancements in robotic perception and manipulation.
Research Focus
Key Achievements
Top Papers
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- 2