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Implementing a multisensory robotic platform for building collaborative monitored robots

Abstract:

In this paper a suitable system based on a multisensory platform is presented, which is appropriate for detecting sources of odorant. Moreover, it is capable of processing and collaborating so that the search can be developed individually or through collaborative work among nodes with similar characteristics. The system described has been developed based on a graphical programming platform that supports events oriented towards instrumentations and SCADA systems. A prototype has been developed where in 90% of the tests the robots found the odorant source with a margin of tolerable error. With the implemented collaborative system the computational burden has been reduced almost 50%, while the searching time of the odorant source has also been reduced.