Kazuma Haraguchi
Papers
1
Total Citations
3
H-Index
1
About
Kazuma Haraguchi is a robotics researcher whose work focuses on probabilistic mapping and sensor perception for autonomous mobile robots. His key contributions lie in developing methods to handle the inherent uncertainties and limitations of real-world sensors, particularly the challenge of occluded or noisy observations. His most-cited paper, "Probabilistic map building considering sensor visibility for mobile robot" (2007), addresses a critical problem in robot navigation: how to build accurate obstacle maps when sensors can only see the nearest objects. By applying Bayesian estimation to account for sensor visibility and depth errors, Haraguchi’s approach enables robots to construct more reliable environmental models despite incomplete data. This foundational work, cited 3 times, has implications for improving robot safety and autonomy in cluttered spaces. His research bridges the gap between theoretical probabilistic robotics and practical sensor limitations, offering solutions that enhance the robustness of mobile robot perception systems.
Research Focus
Key Achievements
Top Papers
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