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About

Mohammad Afif Ayob is a robotics and automation researcher whose work spans industrial robot kinematics, mobile robotics, and autonomous control systems. He is perhaps best known for his comprehensive analysis of the Mitsubishi Melfa RV-2AJ industrial robot manipulator, having produced influential studies on both forward and inverse kinematics for this five-degree-of-freedom system — work that has collectively garnered nearly 20 citations and established him as a reliable reference in industrial robot modeling. His 2014 forward kinematics paper remains his most impactful contribution, demonstrating elegant analytical solutions for transforming between joint and Cartesian space. Beyond fixed manipulators, Ayob has made meaningful contributions to mobile robotics, developing a three-wheeled omni-directional robot powered by an ARM processor for line-following applications and later extending this platform to obstacle avoidance within simulation environments. His interests also extend to marine robotics, evidenced by his work on fuzzy logic-based leveling control for underwater remotely operated vehicles. His integration of simulation tools such as SimMechanics and Webots reflects a commitment to bridging theoretical modeling with practical validation — making his research particularly accessible and useful for students and engineers entering the field of robotics.