Kazushi Nakazawa
Papers
4
Total Citations
33
H-Index
4
About
Kazushi Nakazawa is a robotics researcher whose work centers on the development of intelligent, human-accompanying mobile robots. His primary research area focuses on enabling robots to navigate dynamic, real-world environments while maintaining a natural, side-by-side position with a human companion. Nakazawa’s major contribution lies in the application of artificial potential fields for environment-adaptive control. He pioneered a unified framework that allows a robot to dynamically adjust its relative position to a person, seamlessly transitioning from a standard side-by-side formation to alternative positions when obstacles or environmental changes demand it. This approach addresses a critical challenge in human-robot interaction: ensuring both safety and social naturalness. His most cited work, "Unified environment-adaptive control of accompanying robots using artificial potential field" (2013), has garnered 12 citations, reflecting its foundational role in the field. Through a series of papers from 2013 to 2015, Nakazawa systematically refined these control algorithms, demonstrating how potential field methods can be adapted to handle the complexities of crowded or cluttered spaces. His research is particularly notable for its practical focus on real-time adaptability, laying essential groundwork for the next generation of personal robotic assistants and service robots that must work closely alongside people.
Research Focus
Key Achievements
Top Papers
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