Naoki Kameyama
Papers
3
Total Citations
10
H-Index
2
About
Naoki Kameyama is a researcher at the forefront of autonomous robotics and sensor-based exploration, with a focus on enabling mobile robots to intelligently navigate and map unknown environments. His work centers on developing efficient exploration algorithms that bridge the gap between frontier-based and sensor-driven strategies, particularly for applications in logistics and industrial automation. In his highly cited 2017 paper, Kameyama introduced a sensor-based exploration algorithm for autonomous map generation using the Kinect, addressing the critical challenge of Simultaneous Localization and Mapping (SLAM) for indoor carrying robots. Building on this, his 2018 work proposed a hybrid approach that combines sensor and frontier-based methods to optimize map creation for auto-transport systems in settings like automobile assembly plants. Demonstrating versatility, Kameyama has also ventured into haptics and thermal sensing, as seen in his 2024 study on artificial fingers for recording thermal transients during hand-object interactions. With a growing citation impact, his contributions are laying the groundwork for more adaptive and efficient autonomous systems in real-world industrial environments.
Research Focus
Key Achievements
Top Papers
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