Volume 7 Issue 4 - November 2016

  • 1. Cognitive thinking for mobile robot in path planning

    Authors : Jayanth Babu Cheetoori, Ramesh Dadi

    Pages : 27-38

    DOI : http://dx.doi.org/10.21172/1.74.004

    Keywords : Autonomous mobile robot , Cognitive Based Adaptive path planning

    Abstract :

    Today’s mobile robots operate in natural industrial, commercial, or military environments and must interact with humans during the decision-making process. The natural environment is highly unstructured and often unknown, hence these robots must be able to process a large amount of information, and make planning and navigational decisions quickly. Autonomous mobile robot have additional processing requirements where they have to collect, plan, and execute their planned route as well as performing tasks relevant to their specific missions. The path planning task is usually one of many important tasks that these robots must accomplish. Autonomous mobile applications require efficient and adaptive path planning approaches. A number of heuristic algorithms exist for producing optimal traverses given changing arc costs. But, most of analytical algorithms are focused on the path finding procedure in a known environment and leave higher level functions, such as obstacle detection. The Cognitive Based Adaptive path planning (CBAPP) is an adaptive and cognitive based thinking system. And efficiency of the CBAPP was compared with analytical and a heuristic based algorithm results. Based on the simulation results, it was shown that CBAPP finds fast, efficient, and acceptable paths.

    Citing this Journal Article :

    Jayanth Babu Cheetoori, Ramesh Dadi, "Cognitive thinking for mobile robot in path planning", https://www.ijltet.org/journal_details.php?id=909&j_id=3500, Volume 7 Issue 4 - November 2016, 27-38, #ijltetorg