Yuki Miyazawa
Papers
1
Total Citations
20
H-Index
1
About
Yuki Miyazawa is a researcher advancing the frontiers of autonomous systems in construction, with a focus on bio-inspired navigation and material transportation. His most-cited work, "Hallway exploration-inspired guidance: applications in autonomous material transportation in construction sites" (2021, 20 citations), introduces a novel approach that mimics human hallway exploration to enable robots to navigate complex, unstructured construction environments. This contribution addresses critical challenges in automating material handling, improving efficiency and safety on job sites. Miyazawa’s research bridges robotics, civil engineering, and artificial intelligence, demonstrating how simple behavioral heuristics can solve real-world logistical problems. His work has garnered attention for its practical applicability, offering a scalable solution for the construction industry’s transition toward automation. With a growing citation impact, Miyazawa is recognized for integrating interdisciplinary insights to create robust, adaptive systems, positioning him as a key voice in the future of autonomous construction and field robotics.
Research Focus
Key Achievements
Top Papers
- 1