![]() Nowadays advanced machine learning, computer vision, audio analysis and natural language understanding systems can be widely used for improving the perceptive and reasoning capabilities of the social robots. The experiment was conducted with 26 real participants that have interacted with the humanoid robot Nao, widely used in Human-Robot interaction (HRI) scenarios. We provide the results of a pilot study that we conducted in order to test the potential of the computational model. The computational model has been implemented by exploiting the multi-agent oriented programming (MAOP) framework JaCaMo, which integrates three different multi-agent programming levels. In particular, we introduce and analyze a special type of help (critical help) that leads to a substantial change in the user’s request, with the objective of taking into account the needs that the same user cannot or has not been able to assess. In this work, we propose a computational cognitive model that provides an artificial agent (e.g., robot, virtual assistant) with the capability to personalize a museum visit to the goals and interests of the user that intends to visit the museum by taking into account the goals and interests of the museum curators that have designed the exhibition. Over the years, the purpose of cultural heritage (CH) sites (e.g., museums) has focused on providing personalized services to different users, with the main goal of adapting those services to the visitors’ personal traits, goals, and interests. The modules are optimized for immediate execution to achieve realistic human–machine interaction. Finally, all the modules are controlled with a customized programming language that is a mixture of C, Pascal, and JavaScript. A fuzzy emotion system that controls the face and the voice modules also forms part of this architecture for assisting interaction. A sensor fusion for the purposes of localization is implemented by means of an Extended Kalman Filter, which is one of the navigation module components, together with the proposed fuzzy controllers needed for path following. Those components are in turn used by other modules designed for navigation and interaction. In doing so, both a software and a hardware architecture are proposed, the different modules of which, such as a laser, cameras, platform, face, and voice, among others, control the different components of the robot. The aim of this research project is to develop a smart social robot showing sufficient intelligence to work as a tour-guide in different environments. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |