Benny Hardjono
Papers
1
Total Citations
4
H-Index
1
About
Benny Hardjono’s research focuses on autonomous robot navigation, sensor fusion, and intelligent control systems. His most cited work, “A Consolidation of SLAM and Signal Reference Point for Autonomous Robot Navigation” (2020), challenges conventional mapping-dependent approaches by proposing a hybrid method that integrates Simultaneous Localization and Mapping (SLAM) with signal reference points. This contribution addresses a critical limitation in robotics—enabling navigation without reliance on pre-built maps—thereby advancing the field toward more adaptive and resilient autonomous systems. With 4 citations, this paper has laid groundwork for further exploration in robust, real-time navigation. Hardjono’s broader contributions span the intersection of robotics and sensor technology, where his work emphasizes practical, scalable solutions for semi- and fully autonomous platforms. His achievements reflect a commitment to bridging theoretical algorithms with real-world deployment, making his research valuable for students and engineers developing next-generation robotic systems. Hardjono’s insights continue to influence discussions on SLAM integration and signal-based localization, marking him as a thoughtful contributor to the evolution of autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1