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Consider a mobile robot exploring an initially unknown school building and assume that it has already discovered some corridors, classrooms, offices, and bathrooms. What can the robot infer about the presence and the locations of other classrooms and offices and, more generally, about the structure of the rest of the building? This paper presents a system that makes a step towards providing an answer...
Exploration of unknown environments with multirobot systems subject to communication constraints is a task involved in several applications, like search and rescue and monitoring. The approaches proposed so far to address this problem are usually based on the use of a single communication modality, for instance, either multi-hop (MH) or rendezvous (RV), during the whole mission. However, it has been...
Semantic mapping for autonomous mobile robots includes the place classification task that associates semantic labels (like ‘corridor’ or ‘office’) to rooms perceived in indoor environments. The mainstream approaches to place classification are characterized by local reasoning, where only features relative to the neighbourhood of each room are considered. In this paper, we propose a method for global...
In this paper we discuss some issues in the experimental evaluation of intelligent autonomous systems, focusing on systems, like autonomous robots, operating in physical environments. We argue that one of the weaknesses of current experimental practices is the low degree of generalization of experimental results, meaning that knowing the performance a robot system obtains in a test setting does not...
Consider a mobile robot exploring an initially unknown school building and assume that it has already discovered some classrooms, offices, and bathrooms. What can the robot infer about the presence and the locations of other classrooms and offices in the school building? This paper makes a step toward providing an answer to the above question by proposing a system based on a generative model that...
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