Mayu Suzuki

Meijo University

Papers

1

Total Citations

12

H-Index

1

About

Mayu Suzuki is a robotics researcher whose work focuses on the practical deployment of dual-arm robotic systems in service and retail environments. Her most-cited paper, "Development of display and disposal work system for convenience stores using dual-arm robot" (2022, 12 citations), demonstrates her commitment to solving real-world automation challenges. In this work, Suzuki addresses the complex manipulation tasks required for stocking shelves and handling waste in convenience stores—a setting where robots must navigate tight spaces and interact with diverse objects. Her research contributes to the growing field of service robotics by integrating perception, planning, and dexterous manipulation into a cohesive system. While early in her career, Suzuki’s work has already garnered attention for its practical implications, particularly in labor-scarce economies. By focusing on dual-arm coordination and task-specific workflows, she is helping to bridge the gap between industrial robotics and everyday commercial applications. Her achievements highlight a promising trajectory in human-robot collaboration, with potential to transform retail operations and inspire further innovations in assistive automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Development of display and disposal work system for convenience stores using dual-arm robot
12 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Meijo University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago