Development of mobile robotics platform for identification of land mines antipersonal in different areas of Colombia

Abstract

Clearance work currently done by the police is considered a job with a high mortality rate. The purpose of the article was to develop and implement a remote robotic platform for identifying personnel landmines in different fields; starting from an obstacle avoidance system, by VFH algorithm (Vector Field Histogram), Robotics by LabView software. The results showed that the caterpillar type traction system allows better movement more grip in all fields compared to type wheel drive system, plus 87.5% accuracy in identifying mines was obtained from a set of 8 different materials, compared with the currently used system Micronta 4003. The implemented system contributes to the detection of dangerous objects on different terrains, becoming an alternative to reduce mortality rates in demining.