Satoshi Nagasaka
Papers
2
Total Citations
30
H-Index
2
About
Satoshi Nagasaka is a researcher focused on advancing autonomous navigation for non-holonomic mobile robots, particularly in constrained agricultural environments. His primary contributions lie in evaluating mapping and path planning strategies for car-like robots navigating narrow pathways, addressing the critical challenge of sensor selection between depth cameras and LiDAR systems based on cost, robustness, and data processing demands. His most cited work, "Evaluation of mapping and path planning for non-holonomic mobile robot navigation in narrow pathway for agricultural application" (2021, 28 citations), provides foundational insights into sensor-driven navigation solutions for precision agriculture. Nagasaka further explores optimal path generation using the RRT* algorithm with Reeds-Shepp curves, analyzing forward-motion-only planning for four-wheel robots in tight spaces. While his citation counts are modest, his work targets a practical niche—bridging robotics and agriculture—by addressing real-world constraints like limited maneuverability and sensor trade-offs. His research is particularly valuable for students and engineers developing cost-effective autonomous systems for structured outdoor environments, offering a clear framework for balancing algorithmic efficiency with hardware limitations in non-holonomic robot design.
Research Focus
Key Achievements
Top Papers
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- 2