Sarawan Wongsa
Papers
1
Total Citations
2
H-Index
1
About
Sarawan Wongsa is a researcher whose work sits at the intersection of robotics, intelligent control, and sensorless force estimation. Their most notable contribution is a novel method for estimating external forces at the tip of a robot end-effector using neural networks, as detailed in their 2023 paper. By implementing an indirect training approach that avoids the need for expensive physical force sensors, Wongsa has developed a cost-effective and practical solution for enhancing robotic manipulation and safety. This work, which has garnered early citations, demonstrates a clear focus on making advanced robotic capabilities more accessible. Wongsa’s research is particularly valuable for applications in industrial automation and human-robot interaction, where precise force feedback is critical but sensor costs can be prohibitive. Their innovative approach to modeling external forces marks a significant step forward in intelligent robotic systems, promising to improve both the performance and affordability of next-generation robots.
Research Focus
Key Achievements
Top Papers
- 1