Indoor SLAM

In this research we developed an algorithm for rescue SLAM that was tested by indoor emulation. The robot agents had to scan and build a map of the disaster area and act according to the probability of finding casualties based on available statistical data regarding the number of people in each known building, warehouse, etc. The estimated data can be obtained from the municipality, business firms etc. The indoor algorithm tested both area division among robots and each robot path planning. The search algorithm adopts itself to changes in the area and to changed probability. After study of various localization technologies we implemented localization with StarGazer technology.

See video
Engineering Robotics Lab

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