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About

R.Y. Adhitya is a robotics researcher whose work bridges artificial intelligence and mechanical control systems. His primary research areas include robotic arm kinematics, autonomous mobile robot navigation, and cloud robotics for disaster management. Adhitya’s most influential contribution is his 2016 paper on implementing neural networks for the inverse kinematic model of a 3-DOF arm drawing robot, which has garnered 39 citations. This work demonstrated how artificial neural networks could effectively solve complex control problems in robotic movement. He further advanced the field by comparing backpropagation neural networks with fuzzy logic controllers for wall-following autonomous mobile robots (22 citations), providing valuable insights into AI-driven navigation. Adhitya has also explored specialized applications, such as comparing extreme learning machines with neural networks for hand-typing robots designed to assist quadriplegic individuals. His more recent work on cloud robotics architecture for disaster management highlights his commitment to applying robotics in high-stakes, real-world scenarios. Through these contributions, Adhitya has established himself as a researcher dedicated to integrating intelligent control systems into practical robotic applications, with his work collectively cited over 65 times.