Thatsaphan Suwannathat

Papers

Total Citations

H-Index

About

Thatsaphan Suwannathat’s research focuses on multi-modal perception for mobile robotics, particularly at the intersection of audio and visual sensing. His most cited work, "Omni-directional Audio-Visual Speaker Detection for Mobile Robot" (2007), pioneers a method for estimating a speaker’s position by fusing omni-directional audio cues with visual data. This approach addresses the critical challenge of dynamic human tracking, enabling robots to navigate and interact more intelligently in real-world environments. By combining these sensory modalities, Suwannathat’s contribution enhances robot autonomy in crowded or unpredictable settings, laying groundwork for applications in service robotics and human-robot interaction. While his citation count (2) reflects early-stage impact, the work’s conceptual novelty—integrating 360-degree audio localization with vision—offers a foundational framework for later advances in multi-sensor fusion. His research underscores the importance of robust, context-aware perception for the next generation of mobile robots, inspiring further exploration into adaptive, real-time tracking systems.