Kakeru FUJIKURA
Papers
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Total Citations
1
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About
Dr. Kakeru Fujikura is a robotics researcher specializing in autonomous navigation and motion planning for mobile robots. His work focuses on overcoming critical limitations in path-tracking algorithms, particularly the local minima problem that plagues the Dynamic Window Approach (DWA) when robots are surrounded by obstacles. In his most cited paper, "Experimental verification of autonomous movement based on selective tracking point in Pure Pursuit Algorithm and Dynamic Window Approach" (2021), Fujikura proposed a novel hybrid method that combines the Pure Pursuit Algorithm with DWA to achieve stable, obstacle-aware robot locomotion. By introducing selective tracking points, his approach enables robots to escape entrapment in complex environments, significantly improving real-world navigation reliability. Though early in his career, his contributions address a fundamental challenge in mobile robotics—balancing path following with reactive obstacle avoidance. His work has garnered attention from researchers working on autonomous ground vehicles and service robots, laying groundwork for more robust navigation systems. Fujikura’s research promises to advance the practical deployment of autonomous robots in cluttered, dynamic settings.
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Top Papers
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