Takuya Kanda
Papers
3
Total Citations
11
H-Index
2
About
Takuya Kanda is a robotics researcher specializing in autonomous disaster response systems, with a focus on enabling robots to navigate and manipulate hazardous environments. His work centers on computer vision and sensor fusion, using RGB-D cameras and 3D point cloud analysis to help robots perceive and interact with unstructured disaster sites. Kanda’s major contributions include developing methods for automatic detection and manipulation of critical infrastructure, such as valves and mechanical switches, which are essential for disaster mitigation. His most cited paper, "Automatic Estimation of the Position and Orientation of Stairs to Be Reached and Climbed by a Disaster Response Robot" (2020, 6 citations), demonstrates a novel approach for stair navigation using 2D image and 3D point cloud analysis. He also led the development of WAREC-l, a fully-automated system for valve manipulation in disaster sites (2019, 3 citations), and proposed a method for locating 3D structured switches using RGB-D sensors (2020, 2 citations). Kanda’s work directly addresses the challenges of robot autonomy in dangerous environments, contributing to the advancement of search-and-rescue robotics. His research has significant implications for improving robot adaptability in real-world disaster scenarios.
Research Focus
Key Achievements
Top Papers
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