Natchanon Wongwilai
Papers
1
Total Citations
6
H-Index
1
About
Natchanon Wongwilai is a robotics researcher whose work centers on the integration of perception, navigation, and manipulation for autonomous systems. His primary research areas include simultaneous localization and mapping (SLAM), robotic grasping, and object model construction. Wongwilai’s most notable contribution is a unified SLAM-based grasping framework that seamlessly combines object model acquisition, grasping point calculation, and robotic arm navigation—tasks traditionally treated in isolation. This holistic approach, detailed in his 2014 paper (6 citations), reduces computational overhead and improves real-time performance in unstructured environments. By enabling a robot to simultaneously map its surroundings and construct 3D models of target objects for manipulation, his work bridges a critical gap between perception and action. While his citation count reflects a focused, early-stage impact, the conceptual integration he proposed has influenced subsequent research in service robotics and industrial automation. Wongwilai’s framework offers a practical blueprint for developing more autonomous and adaptive robotic systems capable of operating in dynamic, human-centric spaces.
Research Focus
Key Achievements
Top Papers
- 1