Kotaro Kikuchi

Papers

Total Citations

H-Index

About

Kotaro Kikuchi is a researcher focused on the intersection of human-robot interaction and behavioral analysis, with a particular emphasis on understanding and modeling human movement in constrained environments. His work addresses a critical challenge in robotics: enabling machines to safely coexist with humans by accurately predicting their actions. Kikuchi’s most cited paper, “Analyzing Human Avoidance Behavior in Narrow Passage” (2018), lays the groundwork for this effort, examining how individuals navigate tight spaces—a scenario where traditional behavioral models often fail. By identifying archetypal patterns in human avoidance, he contributes to the development of more responsive and intuitive robotic systems. While his citation count (2) reflects the nascent stage of this research, his focus on a fundamental technical problem—the lack of sufficient data and archetypes for complex behavior recognition—positions his work as a stepping stone for future advances in autonomous navigation and safety. Kikuchi’s research is particularly relevant for students and engineers seeking to bridge the gap between human cognition and robotic perception in real-world settings.