This technology uses multiple sensors to detect a robot driving on a track, calculates its position and speed in real time, and controls the timing of a drop module to simulate collisions between the robot and falling objects or to replicate post-fall avoidance scenarios, thereby quantitatively evaluating the robot's performance.
It is difficult to replicate actual collapse scenarios at disaster sites, and there is a lack of automated systems capable of accurately predicting the timing of falling objects to objectively and quantitatively evaluate a robot's collision or avoidance performance.
This technology calculates the robot's position and speed using sensor modules installed at entry, passage, and exit points. It precisely controls the drop module by calculating the time difference for the drop based on the weight and height of the falling object, while simultaneously automating the recording intervals of camera modules based on sensor detection to efficiently capture experimental data. Applicable to logistics transport, service robots, and autonomous driving platforms, it provides a more realistic and objective testing system capable of simulating collisions or avoidance scenarios in collapse disasters, thereby improving the performance evaluation of disaster response robots.
This invention was developed with support from the Ministry of Public Safety and Security for the development of technology to establish field performance evaluation environments for special equipment and robots used in fire suppression, search, and rescue, taking into account grading, modularization, and standardization.
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