Keisuke Murata
Papers
2
Total Citations
8
H-Index
2
About
Keisuke Murata’s research lies at the intersection of robotics, computer vision, and human-robot interaction, with a focus on enabling machines to perceive and communicate naturally within human environments. His early work pioneered monocular vision-based navigation for indoor mobile robots, demonstrating how a single camera could detect boundary lines, obstacles, and frontal surroundings to allow autonomous movement without pre-mapped environments—a foundational contribution to low-cost, vision-driven robotics. This paper has garnered 5 citations, reflecting its practical relevance. Murata later advanced human-robot communication by investigating static and dynamic gaze expressions in museum guide robots. His 2015 study, cited 3 times, explored how robot head design and behavioral cues—such as gaze direction—can facilitate non-verbal interaction, enhancing visitor engagement and trust. By bridging technical vision systems with social robotics, Murata’s work underscores the importance of intuitive, perception-based autonomy. His contributions offer valuable insights for students and researchers developing robots that navigate and interact seamlessly in unstructured, human-centered spaces.
Research Focus
Key Achievements
Top Papers
- 1Monocular Vision based Indoor Mobile Robot5 citations · 2008
- 2