Mohammad Farshid
Papers
1
Total Citations
9
H-Index
1
About
Mohammad Farshid is a researcher at the forefront of autonomous systems, robotics, and computer vision, with a focus on life-saving applications. His most cited work, "RoboFI: Autonomous Path Follower Robot for Human Body Detection and Geolocalization for Search and Rescue Missions using Computer Vision and IoT" (2019), has garnered 9 citations, showcasing his impact in the field. This paper introduces an autonomous rescue robot that leverages ultrasonic sensors, computer vision, and IoT to detect and geolocate human bodies in disaster zones, addressing the critical need for efficient search and rescue operations. Farshid’s contributions lie in integrating real-time path following with robust human detection, a system designed to reduce loss of life in natural and man-made catastrophes. His work exemplifies the practical application of robotics and IoT in emergency response, offering a scalable solution for autonomous disaster relief. By combining hardware and software innovations, Farshid advances the frontier of intelligent rescue systems, making him a notable figure in robotics for humanitarian engineering.
Research Focus
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Top Papers
- 1