Muhammad Syahputra Novelan

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About

Muhammad Syahputra Novelan is a researcher in robotics and embedded systems, focusing on autonomous navigation and human-robot interaction. His work addresses real-world challenges through practical engineering solutions. His most cited paper, "Sistem Kendali Obstacle Avoidance Robot sebagai Prototype Social Distancing Menggunakan Sensor Ultrasonic dan Arduino" (2020), with 9 citations, presents a robot prototype designed to enforce social distancing during the COVID-19 pandemic. This contribution demonstrates the application of ultrasonic sensors and Arduino microcontrollers for obstacle avoidance, highlighting the role of robotics in public health. Another notable study, "Control of motion stability of the line tracer robot using fuzzy logic and kalman filter" (2018), with 4 citations, tackles the complex problem of balancing a two-wheeled line-following robot. By integrating fuzzy logic and Kalman filtering, Novelan improved motion stability, enabling the robot to maintain an upright posture while accurately tracking a line. His research bridges theoretical control systems with tangible robotic prototypes, offering valuable insights for students and engineers in mechatronics. Novelan’s work underscores the potential of low-cost, accessible technologies to solve pressing societal issues, from healthcare to industrial automation.