Papers
2
Total Citations
6
H-Index
2
About
Satoshi Koide is a robotics researcher focused on advancing human-robot interaction, particularly in the domain of robot navigation. His key research areas include developing intuitive communication methods that allow humans to guide robots more effectively, addressing the inherent ambiguities in natural language instructions. Koide’s major contributions center on integrating geometric and pointing-based instructions into navigation systems. His 2023 paper, "Enhanced Robot Navigation with Human Geometric Instruction" (4 citations), proposes using geometric cues—such as spatial directions or shapes—to complement verbal commands, reducing ambiguity and improving destination accuracy. Another influential work, "Enhancement of Robot Navigation Systems via Human Pointing Instruction" (2 citations), explores how simple pointing gestures can efficiently convey destinations, enabling robots to perform spatial searches with limited information. While his citation counts are currently modest, reflecting the recency of his work, Koide’s research is pioneering a more natural, multimodal approach to human-robot communication. His efforts are particularly valuable for practical applications where robots must operate in dynamic, human-centric environments, making navigation more reliable and user-friendly. Koide’s work stands out for its focus on bridging the gap between human intent and robotic action through simple, intuitive interfaces.
Research Focus
Key Achievements
Top Papers
- 1Enhanced Robot Navigation with Human Geometric Instruction4 citations · 2023
- 2Enhancement of Robot Navigation Systems via Human Pointing Instruction2 citations · 2023