Rawitch Butdee
Papers
2
Total Citations
13
H-Index
2
About
Rawitch Butdee is a researcher advancing the field of autonomous mobile robotics (AMR), with a focus on intelligent motion planning and control in dynamic industrial environments. His work addresses the critical challenge of optimizing AMR performance in shop-floor settings where robots must navigate continuously between workstations. Butdee’s most cited paper, “Optimization Modeling Parameters for Industrial AMR Slippage Using ANFIS System in Dynamic Environment” (2024, 10 citations), introduces a novel application of adaptive neuro-fuzzy inference systems to model and mitigate wheel slippage—a key issue for reliable autonomous navigation. In a second influential work (3 citations), he develops a B-spline trajectory generation method that maximizes speed for nonholonomic AMRs, moving beyond traditional point-to-point stop-and-turn approaches to enable smoother, faster continuous movement. His contributions are particularly valuable for industrial logistics and smart manufacturing, where AMR efficiency directly impacts productivity. With a growing citation record and a focus on practical, real-world robot performance, Butdee is establishing himself as a promising voice in the intersection of robotics, control systems, and artificial intelligence.
Research Focus
Key Achievements
Top Papers
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