Janu Anggoro

Sepuluh Nopember Institute of Technology

Papers

Total Citations

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About

Janu Anggoro is a researcher specializing in robotics, sensor fusion, and autonomous navigation systems. His work focuses on developing cost-effective solutions for robot mapping and obstacle avoidance, with a particular emphasis on integrating consumer-grade sensors into practical navigation frameworks. His most cited paper, "2D map creator for robot navigation by utilizing Kinect and rotary encoder" (2015, 11 citations), presents an innovative approach that replaces traditional ultrasonic sensors with Microsoft Kinect depth-sensing technology combined with rotary encoder data. This work demonstrates how affordable, off-the-shelf hardware can be repurposed for real-time 2D environmental mapping, enabling robots to navigate collision-free in unknown spaces. By fusing visual depth data with odometry, Anggoro’s system offers a low-cost alternative for indoor robot localization and map creation—a contribution that has informed subsequent research in accessible robotics. His work sits at the intersection of embedded systems, computer vision, and mobile robotics, addressing practical challenges in autonomous navigation for service and educational robots. Anggoro’s research continues to explore sensor integration strategies that balance accuracy, affordability, and real-time performance.