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(2014) Large scale monocular vision-only mapping from a fixed-wing sUAS. Notice: Changes introduced as a result of publishing processes such as copy-editing and formatting may not be reflected in this document. For a definitive version of this work, please refer to the published source: Abstract-This paper presents the application of a monocular visual SLAM(More)
This paper investigates the use of the FAB-MAP appearance-only SLAM algorithm as a method for performing visual data association for RatSLAM, a semi-metric full SLAM system. While both systems have shown the ability to map large (60-70km) outdoor locations of approximately the same scale, for either larger areas or across longer time periods both algorithms(More)
— The Lingodroids are a pair of mobile robots that evolve a language for places and relationships between places (based on distance and direction). Each robot in these studies has its own understanding of the layout of the world, based on its unique experiences and exploration of the environment. Despite having different internal representations of the(More)
The foundation of a language for a mobile agent – robot or human – is the representation of spatial and temporal concepts. These concepts include where and when events, objects and agents are located in space and time. This paper presents an overview of the Lingodroid project, in which real and simulated robots play language games to ground concepts for(More)
Traditional approaches to the use of machine learning algorithms do not provide a method to learn multiple tasks in one-shot on an embodied robot. It is proposed that grounding actions within the sensory space leads to the development of action-state relationships which can be re-used despite a change in task. A novel approach called an Experience Network(More)
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