Korawee Hirunthakingpunt
Papers
1
Total Citations
2
H-Index
1
About
Korawee Hirunthakingpunt’s research focuses on human-robot interaction, particularly the detection and classification of human poses to enable safer, more intuitive collaboration between people and mobile robots. In their most-cited work, “Human Detection and Human Pose Classification for Mobile Robots Interaction” (2024), they address a critical challenge in robotics: enabling machines to interpret human body language in real time to avoid collisions and improve responsiveness in dynamic environments like hospitals, restaurants, and industrial settings. By proposing a novel pose classification framework tailored for human-robot interaction, Hirunthakingpunt contributes to making autonomous systems more perceptive and socially aware. Though early in their career, this work has already garnered attention, accumulating 2 citations and signaling its relevance to the growing field of service robotics. Their research bridges computer vision and robotics, offering practical solutions for safer human-robot coexistence. As mobile robots become increasingly common in public and private spaces, Hirunthakingpunt’s contributions lay important groundwork for future advancements in autonomous navigation and interactive robotics.
Research Focus
Key Achievements
Top Papers
- 1