Adi Candra Kusuma
Papers
1
Total Citations
2
H-Index
1
About
Adi Candra Kusuma is a robotics researcher specializing in autonomous navigation and sensor fusion for mobile robots. His work focuses on enhancing the motion accuracy and control stability of differential drive platforms, a critical challenge in developing reliable automated vehicles. His most-cited paper, "Differential Drive Mobile Robot Motion Accuracy Improvement with Odometry-Compass Sensor Fusion Implementation" (2023), demonstrates a practical approach to integrating odometry and compass data to correct cumulative drift errors in wheeled robots. This contribution addresses a fundamental limitation in dead-reckoning systems, enabling more precise trajectory tracking without expensive sensors. Though his citation count is currently modest, Kusuma’s research holds significant potential for applications in warehouse logistics, assistive robotics, and educational platforms. By bridging theoretical kinematics with real-world sensor fusion, he provides a scalable solution for improving autonomous vehicle control. His work is particularly valuable for students and engineers seeking cost-effective methods to enhance robot localization accuracy, laying groundwork for more robust and accessible autonomous systems.
Research Focus
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Top Papers
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