S. Negata

Papers

Total Citations

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About

S. Negata is a pioneering researcher in the fields of robotics and neural network control systems, with a particular focus on autonomous mobile robots. Their most influential work, "Behavior control for a mobile robot by multihierarchical neural network" (2003, 10 citations), introduced a novel approach to robot navigation and learning. Negata developed a four-wheeled mobile robot equipped with twelve sensors and two motors, whose behavior was governed by a multihierarchical neural network architecture. This system allowed the robot to process internal states and environmental changes simultaneously, enabling adaptive, intelligent movement without explicit programming. The key contribution lies in demonstrating how hierarchical neural networks can effectively integrate sensory data for real-time decision-making in physical robots. While the citation count is modest, this work represents an early and important step toward biologically inspired robot control, influencing subsequent research in autonomous navigation and neural network-based learning for mobile platforms. Negata’s research continues to inspire students and engineers exploring the intersection of neural computation and embodied robotics.