ARBI ABDUL ARBI ABDUL JABBAAR
Papers
2
Total Citations
9
H-Index
2
About
Arbi Abdul Jabbaar is an Indonesian robotics researcher whose work centers on autonomous robot navigation and disaster response technology. His research addresses a critical real-world challenge: deploying intelligent robotic systems in disaster zones to assist Search and Rescue (SAR) teams in locating victims more effectively and efficiently. His most notable contributions focus on waypoint-based navigation methodologies, enabling robots to autonomously traverse unknown and dynamically irregular terrain — a technically demanding problem with significant humanitarian implications. His 2020 paper on automatic waypoint implementation for return-trip navigation, which has garnered 5 citations, demonstrates sophisticated path-planning capabilities that allow robots to reference potential victim locations as navigational anchors. Complementing this, his work on autonomous disaster victim search robots using the waypoint method (4 citations) proposes practical frameworks for deploying robotic systems in post-disaster environments where human access may be limited or dangerous. Though early in citation accumulation, Jabbaar's research sits at a vital intersection of robotics engineering and humanitarian technology. His contributions offer promising foundations for next-generation SAR robotics, with potential to meaningfully reduce response times and improve survivor outcomes in natural disaster scenarios.
Research Focus
Key Achievements
Top Papers
- 1
- 2The Autonomous Disaster Victim Search Robot using the Waypoint Method4 citations · 2020