Tawiwat Veeraklaew

University of Delaware, Thammasat University

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About

Tawiwat Veeraklaew is a researcher whose work lies at the intersection of robotics, dynamic systems, and optimal control—specifically focused on making machines move better, smoother, and more efficiently. His key research areas include robot performance optimization, energy minimization, and motion smoothness quantification. Veeraklaew’s most cited work, "Designing robots for optimal performance during repetitive motion" (1998, 15 citations), addresses a critical challenge in flexible manufacturing: how to design robots that not only repeat motions reliably but also minimize cost per cycle as they adapt to changing assembly lines. This contribution has practical implications for industrial automation, where efficiency gains multiply over thousands of cycles. In a related line of inquiry, Veeraklaew explored the trade-off between two competing objectives in dynamic systems: minimizing energy consumption and minimizing jerk (a measure of motion smoothness). His studies on minimum jerk versus minimum energy (2006, 6 citations) and direct versus indirect jerks (2008, 2 citations) provide foundational insights for applications ranging from automobile control to pick-and-place robots handling fragile equipment. By systematically comparing these optimization criteria, Veeraklaew has helped clarify how engineers can balance smoothness and efficiency in real-world systems.