Akihiro Matsukawa

University of California, Berkeley

Papers

1

Total Citations

228

H-Index

1

About

Akihiro Matsukawa is a pioneering researcher in cloud robotics and autonomous manipulation, best known for integrating internet-scale computation with physical robotic systems. His seminal 2013 work, "Cloud-based robot grasping with the Google object recognition engine," has garnered over 228 citations, establishing a foundational framework for offloading perception and planning tasks from onboard hardware to cloud infrastructure. This breakthrough demonstrated how robots could leverage vast, open-source resources to overcome constraints in memory and processing power, enabling more robust object recognition and grasping in unstructured environments. Matsukawa’s contributions have significantly advanced the practical deployment of service and industrial robots, particularly in scenarios requiring real-time adaptation to novel objects. His research bridges computer vision, distributed systems, and robotics, inspiring subsequent work in networked automation. Recognized for his role in shaping the cloud robotics paradigm, Matsukawa continues to influence how autonomous systems harness ubiquitous connectivity, making his work essential reading for students and engineers exploring scalable, resource-efficient robotic intelligence.

Research Focus

Key Achievements

1
H-Index
1
Papers
228
Total Citations
228
Avg Citations/Paper
🏆 Most Cited Paper
Cloud-based robot grasping with the google object recognition engine
228 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of California, Berkeley

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago