T. Murakoshi
Papers
2
Total Citations
11
H-Index
2
About
T. Murakoshi is a researcher specializing in autonomous mobile robotics, with a particular focus on navigation, path planning, and real-time environmental mapping. Their work addresses one of the central challenges in robotics: enabling mobile robots to navigate safely and efficiently through unknown or complex environments without prior knowledge of the surroundings. Murakoshi's most significant contributions center on developing navigation algorithms for sonar-equipped mobile robots capable of constructing local maps in real time. Their 2003 paper, which has garnered 9 citations, introduced a navigation technique that integrates real-time local map-building with reactive obstacle avoidance behaviors — a meaningful step toward more adaptive and intelligent robotic systems. Building on this foundation, a 2004 follow-up study extended the approach to incorporate local path planning, demonstrating the robot's ability to reach goals even within complicated environments. While Murakoshi's citation counts remain modest, their research contributes to foundational methodologies in autonomous robot navigation, an area with broad implications for industrial automation, search-and-rescue operations, and service robotics. Their work reflects a consistent commitment to bridging theoretical navigation algorithms with practical, sensor-driven implementation in real-world robotic systems.
Research Focus
Key Achievements
Top Papers
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