Dinh Tho Long

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About

Dinh Tho Long is a researcher in robotics and industrial automation, with a focus on the simulation and control of robotic systems for manufacturing applications. His most cited work, "Robotic Arm Simulation by using Matlab and Robotics Toolbox for Industry Application" (2020), has garnered 14 citations, demonstrating its relevance in bridging theoretical robotics with practical industry needs. This paper exemplifies his contribution to developing accessible simulation frameworks that enable engineers to model, analyze, and optimize robotic arm operations without costly physical prototypes. Long’s research integrates computational tools like MATLAB’s Robotics Toolbox to enhance precision and efficiency in automated processes, addressing challenges in trajectory planning, kinematics, and real-time control. His work supports the broader adoption of robotics in small-to-medium enterprises by lowering barriers to prototyping and testing. Beyond this publication, Long continues to explore advancements in human-robot collaboration and adaptive control systems, aiming to make industrial robotics more flexible and intelligent. His efforts underscore a commitment to translating complex algorithms into deployable solutions, making him a valuable resource for students and researchers seeking practical insights into robotic simulation and its industrial impact.