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Augmented Reality (AR) introduces vast opportunities to the industry in terms of time and therefore cost reduction when utilized in various tasks. The biggest obstacle for a comprehensive deployment of mobile AR is that current devices still leave much to be desired concerning computational and graphical performance. To improve this situation in this paper we introduce an AR Edge Computing architecture...
The visual servoing based pickup of stationary objects (or regulation, etc.) has attracted many academic researchers and industrial engineers over the past two decades, and numerous control strategies are proposed for this challenging problem. The controller proposed in this paper follows the Position Based Visual Servoing (PBVS) paradigm. Most of the PBVS controllers, if not all, are designed assuming...
This paper presents experimental results about loop closure detection in mobile robots through spectral description of images set and data dimensionality reduction. Both, spectral description and representation in low dimension depend heavily on the concept of dominant eigenvector. Integration between Matlab and ROS interface was exploited to perform our experiments. Besides, two environments were...
This paper deals with the “SETTLE code”, which is a 2D code that provides camera image based 6-dof self-localization in 3-D space. In the authors' previous works, they proposes the preceding idea of the SETTLE code. However, there were several problems mainly in precision and usability. Then, in this paper, the authors re-defines their landmark code as the Settle code and re-implements it as an app...
Though the classical robotics is highly proficient in accomplishing a lot of complex tasks, still it is far from exhibiting the human-like natural intelligence in terms of flexibility and reliability to work in dynamic scenarios. In order to render these qualities in the robots, reinforcement learning could prove to be quite effective. By employing learning based training provided by reinforcement...
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