Harjuno Hutomo
Papers
1
Total Citations
73
H-Index
1
About
Harjuno Hutomo is a leading researcher in autonomous mobile robotics, with a primary focus on sensor-based navigation and obstacle avoidance systems. His most influential work, the 2019 paper "Lidar-based Obstacle Avoidance for the Autonomous Mobile Robot," has garnered 73 citations and stands as a cornerstone in the field. In this study, Hutomo addressed critical limitations of conventional sensors—such as limited detection range and accuracy—by leveraging LiDAR technology to enable safer, more precise path planning in hazardous environments. His contributions have directly advanced the deployment of autonomous robots in dangerous settings, including disaster response and industrial inspection, where human presence is risky. By demonstrating how LiDAR can overcome the shortcomings of traditional ultrasonic or infrared sensors, Hutomo has helped shape modern approaches to real-time obstacle detection and avoidance. His work is widely recognized for bridging the gap between theoretical sensor fusion and practical robotic navigation, making him a key figure in the ongoing evolution of autonomous systems. For students and researchers exploring robust, sensor-driven robotics, Hutomo’s research offers foundational insights into building safer, more capable mobile robots.
Research Focus
Key Achievements
Top Papers
- 1Lidar-based Obstacle Avoidance for the Autonomous Mobile Robot73 citations · 2019