Achmad Zidan Akbar
Papers
1
Total Citations
3
H-Index
1
About
Achmad Zidan Akbar is a researcher at the forefront of maritime robotics and autonomous systems, with a focused expertise in applying computer vision and unmanned vehicles to critical search and rescue operations. His most cited work, "Autonomous Surface Vehicle in Search and Rescue Process of Marine Casualty using Computer Vision Based Victims Detection" (2022), introduces a pioneering catamaran-type Autonomous Surface Vehicle (ASV) designed to enhance the efficiency and safety of maritime accident response. By integrating a Robot Operating System (ROS) with a fixed T200 Thruster electric propulsion system, Akbar’s ASV leverages computer vision to autonomously detect victims in challenging marine environments. This contribution addresses a vital gap in disaster management, offering a scalable solution that reduces human risk during search missions. With 3 citations, this paper has already sparked interest in the intersection of robotics and humanitarian technology. Akbar’s work exemplifies how autonomous systems can be tailored for real-world emergencies, positioning him as an emerging voice in marine robotics and a promising innovator in life-saving autonomous technologies.
Research Focus
Key Achievements
Top Papers
- 1