Masaki Oshima

Tokyo University of Marine Science and Technology

Papers

Total Citations

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About

Masaki Oshima is a researcher whose work lies at the intersection of geometric modeling and robotic perception, with a particular focus on how machines can efficiently represent and interact with physical environments. His most cited contribution introduces a novel surface-based geometric modeling approach that leverages a "teaching tree" structure to represent general objects. This method addresses a fundamental challenge in robot motion planning: rather than modeling every possible shape from scratch, Oshima’s framework allows robots to store and retrieve object geometries from a database, reducing the problem to determining only the position and orientation of known shapes. This work, though modest in citation count with 4 references, represents an early and thoughtful step toward more practical and memory-efficient environmental modeling for autonomous systems. Oshima’s research bridges computer graphics and robotics, offering a pragmatic solution for real-world applications where robots must navigate and manipulate objects in cluttered or unfamiliar spaces. His contributions are particularly relevant for students and researchers exploring geometric reasoning, spatial representation, and the intersection of perception and motion planning in robotics.