Makoto Yashiro

Papers

1

Total Citations

9

H-Index

1

About

Makoto Yashiro is a leading researcher in autonomous mobile robotics, with a primary focus on intelligent navigation and logistics automation. His work addresses the pressing global labor shortage by developing advanced path-planning systems that enable robots to operate efficiently in complex, real-world environments. Yashiro’s most influential contribution is the concept of hierarchized maps, which integrates local and global path planning to allow robots to seamlessly navigate both fine-grained obstacles and large-scale layouts. This innovation, detailed in his highly cited 2022 paper, has garnered 9 citations and is foundational for next-generation logistics robots. By combining hierarchical mapping with real-time decision-making, his research directly enhances the autonomy and reliability of mobile robots in warehouses and distribution centers. Yashiro’s work stands out for its practical impact, offering scalable solutions to critical industrial challenges. His achievements position him as a key figure in bridging robotics theory with real-world deployment, making his research essential reading for students and engineers aiming to advance autonomous systems in logistics and beyond.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Local and Global Path Planning for Autonomous Mobile Robots Using Hierarchized Maps
9 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 11

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago