Meta Mueangprasert
Papers
1
Total Citations
11
H-Index
1
About
Dr. Meta Mueangprasert is a researcher at the forefront of intelligent robotics and control systems, with a specialization in applying machine learning to enhance robotic autonomy. Their most significant contribution is a pioneering 2023 study on robot arm movement control, which integrates model-based reinforcement learning (MBRL) with machine learning regression techniques and particle swarm optimization. This work addresses a critical challenge in robotics—precise and adaptive movement control—by enabling robot arms to learn optimal trajectories through a hybrid approach that balances exploration and exploitation. The paper has garnered 11 citations, reflecting its growing influence in fields ranging from industrial automation to medical robotics and agricultural technology. Dr. Mueangprasert’s research is particularly notable for bridging theoretical reinforcement learning with practical engineering constraints, offering a scalable framework that reduces the need for manual programming. By demonstrating how MBRL can be combined with swarm intelligence, they have opened new pathways for developing more flexible, efficient, and intelligent robotic systems. Their work stands as a valuable resource for students and researchers interested in the intersection of reinforcement learning, optimization algorithms, and real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1