Thanavin Mansakul

Papers

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About

Thanavin Mansakul is a rising researcher in robotics and automation, with a focus on vision-based manipulation and autonomous navigation. His work bridges critical gaps in real-world robotic deployment, particularly in aircraft maintenance and service robotics. His most cited paper, "Navigation for a mobile robot to inspect aircraft" (2023, 3 citations), addresses the high-stakes challenge of preflight inspection—a task where human error can compromise both safety and cost-efficiency. By introducing a mobile robot navigation system tailored for aircraft environments, Mansakul offers a practical solution to reduce operational risks and expenses. He further advances robotic autonomy with "An End-to-End Computationally Lightweight Vision-Based Grasping System for Grocery Items" (2025, 2 citations), which integrates object detection, pose estimation, and grasping into a streamlined, efficient framework—critical for real-time applications in cluttered settings like retail. His comprehensive review, "The Comprehensive Review of Vision-based Grasp Estimation and Challenges" (2024, 2 citations), synthesizes decades of progress in robotic grasping, highlighting persistent hurdles in unstructured environments. Though early in his career, Mansakul’s work demonstrates a clear trajectory toward making robots more capable and reliable in complex, human-centric spaces, marking him as a promising contributor to the field of intelligent robotics.