Thanakorn Sappakit

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About

Thanakorn Sappakit is a researcher advancing the frontiers of computer vision and autonomous robotics, with a focus on practical, life-saving applications. His work centers on two key areas: automated dataset generation for object pose estimation and drone-assisted navigation for surface mobile robots. In his 2024 study, "Automated Object Keypoints Dataset Generation Using Blender," Sappakit introduces a groundbreaking alternative to labor-intensive hand labeling, leveraging Blender’s 3D capabilities to automate the creation of labeled keypoints datasets. This innovation streamlines training for pose estimation models, addressing a critical bottleneck in computer vision research. His second major contribution, "Drone-Based Path Localization for Surface Mobile Robot with 2D Camera," tackles the high-stakes domain of water surface search-and-rescue. By integrating a drone’s aerial camera with a surface robot, Sappakit dramatically expands search coverage, overcoming the limitations of surface-level views to locate individuals in distress more swiftly. With 5 and 4 citations respectively, these papers underscore his impact in enhancing efficiency and safety in robotics. Sappakit’s work exemplifies how automated tools and multi-agent systems can transform real-world operations, making him a notable figure in applied AI and robotics.