Kanyakorn Sripattanaon
Papers
1
Total Citations
2
H-Index
1
About
Kanyakorn Sripattanaon is a researcher in robotics and automation, with a focus on computer vision and autonomous assembly systems. Her work centers on developing intelligent methods for object detection and classification to enable precise, automated manipulation in manufacturing environments. In her most-cited paper, "Multi-objects detection and classification using Vision Builder for autonomous assembly" (2019), she proposed a novel approach that leverages Vision Builder for Automated Inspection (AI) and state diagram design to identify and locate multiple objects on a placement mat. This contribution addresses a critical challenge in autonomous assembly—reliably extracting spatial information from visual input. Although her citation count is currently modest, her research lays important groundwork for integrating vision-based decision-making into industrial robotics. Sripattanaon’s work is particularly relevant for students and engineers exploring low-cost, accessible tools for automation, demonstrating how state-driven visual processing can streamline assembly tasks and reduce human intervention.
Research Focus
Key Achievements
Top Papers
- 1