Hikari MIYASE

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About

Hikari Miyase is a robotics researcher whose work centers on autonomous mobile robots, 3D space perception, and adaptive neural architectures. Her most influential contribution, the 2022 paper "Growing Neural Gas with Different Topologies for 3D Space Perception," has garnered 20 citations and addresses a critical challenge in robotics: enabling robots to perceive and interact with unknown environments without prior mapping. Miyase’s research focuses on how neural gas networks—a type of self-organizing neural network—can be adapted with different topologies to allow robots to detect target objects and estimate their 3D poses in real time. This work is foundational for applications in autonomous navigation, manipulation, and search-and-rescue operations, where adaptability is key. By bridging neural computation and spatial perception, Miyase has provided a framework that improves a robot’s ability to operate adaptively in dynamic, unstructured settings. Her achievements highlight a growing intersection between machine learning and robotics, and her citation record reflects the relevance of her approach to researchers tackling similar problems in autonomous systems and embodied AI.