Veerasak Chanarungruengkij
Papers
1
Total Citations
14
H-Index
1
About
Veerasak Chanarungruengkij is a researcher at the forefront of intelligent manufacturing and industrial robotics, with a primary focus on optimizing energy efficiency in automated systems. His most cited work introduces a pioneering method that integrates remote sensing, Particle Swarm Optimization (PSO), and Artificial Neural Networks (ANNs) to minimize the energy consumption of six-axis robot arms. By dynamically controlling velocity and acceleration along a predetermined trajectory—derived from lean manufacturing principles—his approach enables real-time adjustments that significantly reduce power usage without compromising performance. This contribution, which has garnered 14 citations, addresses a critical challenge in sustainable automation, offering a practical pathway toward greener, more cost-effective industrial operations. Chanarungruengkij’s research bridges the gap between advanced computational intelligence and physical robotic control, demonstrating how AI-driven optimization can transform traditional manufacturing processes. His work is particularly notable for its application of real-time control, setting a benchmark for future studies in energy-efficient robotics and smart factory design.
Research Focus
Key Achievements
Top Papers
- 1