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About

Derisma Derisma is an Indonesian researcher whose work spans robotics, control systems, and artificial intelligence, with a particular focus on applying computational methods to real-world engineering challenges. Their most recognized contribution lies in the domain of bipedal robotics, where their 2015 study on inverse kinematics for biped robot locomotion — garnering 8 citations — demonstrated how servo-driven movement could be precisely governed through mathematical modeling using Arduino microcontrollers. Complementing this, their research on PID control systems for line-following mobile robots and fuzzy logic-based autonomous floor-drying robots reflect a consistent commitment to intelligent automation and practical robotic design. Derisma has also made strides in computer vision, developing a human-following mobile robot using template matching on a mini PC platform. More recently, their 2022 systematic review on deep learning for early plant disease detection — cited 7 times — signals a meaningful expansion into agricultural AI and machine learning applications, positioning them at the intersection of traditional embedded systems engineering and modern data-driven methodologies. Collectively, their body of work, accumulating over 30 citations, reflects a versatile researcher dedicated to bridging theoretical algorithms with tangible, socially impactful robotic and AI solutions.