Dwi Kalam Amal Tauhid

Papers

Total Citations

H-Index

About

Dwi Kalam Amal Tauhid is an emerging researcher in robotics and artificial intelligence, with a focused interest in developing autonomous systems for critical real-world applications. His primary research area centers on integrating advanced computer vision algorithms into robotic platforms for disaster response and exploration. His most notable contribution is the "Exploration Robot Based On YOLOv8 Algorithm" (2024), which addresses the urgent need for autonomous machines capable of navigating hazardous environments—such as earthquake-stricken areas—where human access is impossible. By leveraging the YOLOv8 object detection algorithm, his work enables robots to identify obstacles, victims, and pathways in real time, significantly enhancing search and rescue operations. Although early in his career, with this paper already garnering 2 citations, his research demonstrates strong potential for impact in the field of extreme-condition robotics. Tauhid’s work represents a vital step toward deploying intelligent, vision-guided robots that can save lives during natural disasters, positioning him as a promising contributor to the intersection of AI and humanitarian technology.