Sorachi MAKINO
Papers
1
Total Citations
1
H-Index
1
About
Dr. Sorachi Makino is a robotics researcher specializing in autonomous navigation and motion planning for mobile robots. Their primary contributions lie in advancing path-tracking algorithms, particularly through the innovative integration of the Pure Pursuit Algorithm with the Dynamic Window Approach (DWA). In their seminal 2021 work, Makino experimentally verified a selective tracking point method that addresses a critical limitation of DWA—its tendency to become trapped in local minima when surrounded by obstacles. By combining these techniques, they demonstrated a robust framework for achieving stable and efficient robot locomotion in complex environments. Although early in their career, with their most-cited paper garnering 1 citation, Makino’s research lays important groundwork for improving real-time obstacle avoidance and autonomous movement. Their work is particularly relevant for applications in service robotics and autonomous vehicles, where reliable navigation in cluttered spaces is essential. Makino’s focus on practical verification and algorithmic refinement marks them as a promising contributor to the field of mobile robotics.
Research Focus
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Top Papers
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