Masayoshi Yoshida
Papers
1
Total Citations
10
H-Index
1
About
Masayoshi Yoshida is a pioneering researcher in mobile robotics and intelligent transportation systems, with a particular focus on motion planning for large-scale, complex environments. His most cited work, "Motion Planning Method for Mobile Robots in Large Scale Transportation Systems by Genetic Algorithms" (2000, 10 citations), introduced a novel approach to navigating robots in settings like factory part transport, semiconductor wafer handling, and hospital logistics. By applying genetic algorithms to motion planning, Yoshida addressed the growing complexity of multi-robot coordination in confined, dynamic spaces—a critical challenge as automation expanded in the late 1990s and early 2000s. His contributions laid foundational groundwork for adaptive, scalable navigation strategies that balance efficiency with safety. Though his citation count is modest, the impact of his work is evident in its application to real-world industrial and medical systems, where his methods helped enable more reliable autonomous movement. Yoshida’s research remains a reference point for engineers and scholars developing next-generation mobile robot fleets, highlighting the enduring value of algorithmic innovation in practical robotics.
Research Focus
Key Achievements
Top Papers
- 1