Goragod Junplod
Papers
1
Total Citations
2
H-Index
1
About
Goragod Junplod is a researcher focused on robotics, control systems, and intelligent estimation techniques, with a particular emphasis on enhancing robotic manipulation without reliance on costly hardware. His most cited work introduces a novel neural network-based external force estimator for a robot end-effector, enabling accurate force sensing through indirect training methods that bypass the need for expensive force sensors. This contribution is pivotal for advancing cost-effective, sensorless robotic systems in industrial and service applications. With over 2 citations on this key paper, Junplod’s research demonstrates practical impact in the field of robot control and machine learning integration. His work stands out for its innovative approach to combining inverse dynamics with neural networks, offering a scalable solution for force estimation that improves robotic adaptability and safety. Junplod’s contributions are particularly valuable for students and researchers exploring affordable, intelligent robotic systems, marking him as a promising voice in modern robotics and automation.
Research Focus
Key Achievements
Top Papers
- 1