Visuospatial Working Memory for Autonomous UAVs: A Bio-Inspired Computational Model

Visuospatial working memory is a fundamental cognitive capability of human beings needed for exploring the visual environment. This function responsible creating visuospatial maps, which are useful maintaining coherent and continuous representation spatial relationships among objects present in external world. A bio-inspired computational model Working Memory (VSWM) proposed this paper to endow Autonomous Unmanned Aerial Vehicles (UAVs) with function. The VSWM was implemented on low-cost commercial drone. total 30 test cases were designed executed. These grouped into three scenarios: (i) environments static dynamic vehicles, (ii) people, (iii) people vehicles. ability measured terms classify locate capable interest presented environment even when stimulus lost because occlusion. represents step towards autonomous UAVs forming mental imagery realistic environments.