Ryunosuke Hamada
Papers
10
Total Citations
112
H-Index
6
About
Ryunosuke Hamada is a leading researcher in disaster response robotics, with a primary focus on developing autonomous systems for firefighting and search-and-rescue operations in hazardous environments. His work centers on simultaneous localization and mapping (SLAM), path planning, and stairway navigation for mobile robots operating in petrochemical complexes and other challenging settings. Hamada's most impactful contributions include a consistent SLAM method using GPS and LIDAR for firefighter robots, which achieved 24 citations, and an enhanced path-smoothing algorithm based on conjugate gradient descent, also cited 24 times. He pioneered robust stairway detection and localization using graph-based models, earning 23 citations, and developed a two-stage Hybrid A* path-planning approach for large-scale environments. Notably, Hamada's "Cyber-Enhanced Rescue Canine" project integrates robotics with canine search-and-rescue teams, demonstrating innovative interdisciplinary thinking. His work on tracked vehicle stair climbing using handrail reaction forces addresses critical mobility challenges in nuclear and chemical plants. With over 100 total citations across his publications, Hamada's research directly impacts the safety and effectiveness of autonomous robots in disaster scenarios, making him a key figure in advancing field robotics for emergency response.
Research Focus
Key Achievements
Top Papers
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- 4Cyber-Enhanced Rescue Canine11 citations · 2019
- 5Two-stage Hybrid A* path-planning in large petrochemical complexes9 citations · 2017
- 6Parking Spot Estimation and Mapping Method for Mobile Robots6 citations · 2018
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