Miyakawa Kazuya

Waseda University

Papers

3

Total Citations

11

H-Index

2

About

Dr. Kazuya Miyakawa is a robotics researcher specializing in autonomous disaster response systems, with a focus on enabling robots to navigate and manipulate complex environments in hazardous settings. His work centers on computer vision and sensor fusion, particularly using RGB-D cameras and 3D point cloud analysis to guide robotic actions. His major contributions include developing fully automated methods for disaster response robots, such as the WAREC-l platform, to perform critical tasks like detecting and manipulating valves, estimating stair geometry for traversal, and locating mechanical switches for pressing. These innovations allow robots to operate autonomously in unstructured, dangerous sites where human intervention is risky. Although his most-cited papers—including "Automatic Estimation of the Position and Orientation of Stairs" (2020, 6 citations) and "Disaster Response Robot’s Autonomous Manipulation of Valves" (2019, 3 citations)—have modest citation counts, they represent foundational steps toward practical, real-world deployment of rescue robots. His work on valve manipulation, for instance, demonstrates a complete pipeline from distant detection to precise grasping, showcasing his ability to bridge perception and action. Dr. Miyakawa’s research is vital for advancing robotics in emergency scenarios, offering a glimpse into a future where machines can safely and effectively assist in disaster mitigation.

Research Focus

Key Achievements

2
H-Index
3
Papers
11
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Automatic Estimation of the Position and Orientation of Stairs to Be Reached and Climbed by a Disaster Response Robot by Analyzing 2D Image and 3D Point Cloud
6 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Waseda University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago