Wipoo Sriseubsai
Papers
1
Total Citations
3
H-Index
1
About
Wipoo Sriseubsai is a researcher specializing in cooperative robotics, neural network control systems, and decentralized automation. His work focuses on developing intelligent control strategies for multi-robot systems, particularly in tasks requiring precise coordination and object manipulation. His most cited paper, "Decentralized Control of Cooperative Robotics System Using Neural Networks for the Purpose of an Object Balancing Flat Plate Tasks" (2019, 3 citations), introduces a novel approach to handling object positioning and velocity on a flat plate using a 1-DOF robot arm under cooperative control. This research contributes to the field by designing decentralized assignment-oriented components that enable robots to work together without centralized oversight, advancing the practical application of neural networks in real-time robotic coordination. While his citation count reflects an emerging career, Sriseubsai’s work lays important groundwork for scalable, intelligent automation in manufacturing and service robotics. His research is particularly relevant for students and engineers interested in the intersection of neural networks, decentralized control, and cooperative robotics, offering foundational insights into how multiple agents can collaborate effectively to perform complex physical tasks.
Research Focus
Key Achievements
Top Papers
- 1