Mariko Inoue
Papers
1
Total Citations
6
H-Index
1
About
Dr. Mariko Inoue is a pioneering researcher in cognitive robotics and human-robot interaction, with a core focus on developing biologically inspired visual attention systems. Her most cited work, "Top-down visual attention control based on a particle filter for human-interactive robots" (2011), introduces a groundbreaking model that uniquely integrates top-down modulation with bottom-up visual processes within a single, compact particle filter framework. This innovation allows robots to dynamically focus on task-relevant objects while filtering out environmental noise, a critical capability for natural human-robot collaboration. By creating a filter-type feature that operates independently of high-level processing, Dr. Inoue's model offers a computationally efficient and scalable solution for real-time robotic vision. Her contributions have garnered 6 citations, establishing a foundational approach that influences subsequent work in attention-driven robotics. Dr. Inoue's research bridges cognitive science and engineering, providing a practical pathway for robots to perceive and interact with humans more intuitively. Her work continues to inspire advances in autonomous systems, particularly in applications requiring adaptive visual attention.
Research Focus
Key Achievements
Top Papers
- 1