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About

Muhammad Agni is a robotics researcher whose work centers on the design and control of robotic arm systems, with a particular focus on inverse kinematics and industrial automation applications. His most recognized contribution, "Small-scale Robot Arm Design with Pick and Place Mission Based on Inverse Kinematics" (2021), has accumulated 42 citations across its publications, demonstrating significant influence within the robotics and automation community. In this work, Agni addresses the practical need for rapid prototyping of robotic systems at the laboratory scale, presenting a three-degree-of-freedom (3-DoF) robot arm capable of executing precise pick-and-place operations — tasks fundamental to modern manufacturing environments. Building on this foundation, his earlier 2020 study, published in Indonesian, explored a more complex five-degree-of-freedom (5-DoF) robot arm design, further advancing accessible solutions for industrial object manipulation. Agni's research bridges theoretical kinematics and hands-on engineering, making sophisticated robotic concepts more approachable for both academic development and real-world industrial deployment. His growing citation record reflects a meaningful contribution to the field of applied robotics, particularly in making scalable, cost-effective robotic prototyping a viable reality for researchers and engineers alike.