MOCHAMAD SEPTONI FAUZI
Papers
2
Total Citations
9
H-Index
2
About
Mochamad Septoni Fauzi is a researcher specializing in autonomous robotics, navigation systems, and disaster response technology. His work focuses on developing intelligent robotic solutions to address real-world humanitarian challenges, particularly in search-and-rescue operations following natural disasters. Fauzi's most notable contributions center on autonomous robot navigation in complex, dynamically unknown environments. His 2020 paper on automatic waypoint implementation for return-trip navigation introduced a system enabling robots to autonomously identify and return to coordinates associated with potential disaster victims — a critical capability for SAR teams operating in hazardous terrain. This work, alongside his companion study on autonomous disaster victim search using the waypoint method, collectively demonstrate a cohesive research agenda aimed at making robotic disaster response more effective and efficient. Together, these two papers have garnered 9 citations, reflecting growing interest from the robotics and emergency-response communities in practical, field-deployable autonomous systems. What distinguishes Fauzi's research is its direct humanitarian application — reducing risk to human rescuers while accelerating victim identification in unpredictable post-disaster environments. His contributions represent meaningful progress in bridging autonomous navigation theory with life-saving real-world implementation.
Research Focus
Key Achievements
Top Papers
- 1
- 2The Autonomous Disaster Victim Search Robot using the Waypoint Method4 citations · 2020