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Innovative Techniques Applied to Visual Navigation by Mobile Robots

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University of the Basque Country (UBC) researchers are studying how hyperspectral images can be applied to mobile robots with the goal of enhancing the robots' capacity for spatial orientation and their resources for detecting their surroundings.

UBC's Ivan Villaverde studied how the visual navigation of small robots can be improved by applying new techniques such as lattice computing, which involves a system based on a series of data with concrete internal ordering. The researcher used lattice computing for the self-location of the robot on qualitative maps and for the detection of visual markers. Villaverde also used optic cameras and three-dimensional cameras to improve the robots' navigation systems. Villaverde's research found that these innovative techniques are valid for the visual navigation of robots.

Though the robots did not have to complete more than some simple tasks in this first phase experiment, it did provide positive results, and more extensive research will follow.

From Basque Research
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