Ayano Kobayashi
Papers
9
Total Citations
146
H-Index
5
About
Ayano Kobayashi is a leading researcher in human-aware robot navigation, specializing in how autonomous mobile robots can safely and intuitively interact with humans in shared spaces. Her work focuses on two critical challenges: enabling robots to communicate their directional intent through non-verbal cues like light and screen indicators, and developing adaptive navigation frameworks that allow robots to induce cooperative behavior from humans—even through gentle contact when necessary. Kobayashi’s most cited paper (2018, 37 citations) demonstrates how projection indicators can make robot navigation smoother and more legible, while her 2019 study (30 citations) introduces a situation-adaptive multimodal inducement system for pass-by scenarios. Her 2022 work on Dynamic Waypoint Navigation (15 citations) presents a model-based adaptive trajectory planner for human-symbiotic robots. Kobayashi’s research has been instrumental in shifting robot navigation from purely reactive obstacle avoidance to proactive, socially-aware interaction, with cumulative citations exceeding 140. Her ongoing exploration of error-tolerant navigation and sequential intent conveyance promises to further bridge the gap between robotic and human communication in crowded environments.
Research Focus
Key Achievements
Top Papers
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- 9Analyzing Human Avoidance Behavior in Narrow Passage2 citations · 2018