Utilizing the Job Expanding Algorithm in Mokhtar Plume Tracker

Ata Jahangir Moshayedi, Farzaneh Ahmadi, Damayanti Chandrashekar Gharpure


Robot speed up in analysing and acquiring data is one of the major tasks in all robots' design. Among all types of robot, plume tracker by their critical task to save human life and securities activity, have an important role. However, the interment shape and movement nature of odour itself bring lots of limitations like moment speed number of sensing element, etc. for these robot types. In this letter, we are proposing the expanding job to boost up processing speed and also over come their limitation by acquiring a number of sensors for our robot platform, Mokhtar. The primary result shows the upturn in robot speed and also success in this aim.

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International Journal of Applied Electronics in Physics & Robotics

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