Arif Krisbudiman

Papers

Total Citations

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About

Arif Krisbudiman is a researcher in robotics and industrial automation, with a focus on kinematic analysis and simulation of robotic systems. His most-cited work, "Analysis Industrial Robot Arm with Matlab and RoboAnalyzer" (2021), examines the Motoman K10S industrial robot arm, breaking down its seven-part configuration—from Base to Wrist Twist—and analyzing joint ranges to optimize motion and control. This contribution provides a practical framework for modeling and simulating industrial robots, bridging software tools like MATLAB and RoboAnalyzer for real-world applications. With 3 citations, his work serves as a foundational resource for students and engineers exploring robot arm dynamics and automation design. Krisbudiman’s research supports advancements in manufacturing efficiency and robotic precision, making his studies valuable for those entering the field of mechatronics and industrial robotics. His detailed approach to joint configuration and range analysis highlights his commitment to accessible, applied research that enhances understanding of robotic arm behavior in industrial settings.