Luís Seabra Lopes

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Interest on using mobile autonomous agents has been growing, recently, due to their capacity to cooperate for diverse purposes, from rescue to demining and security. However, such cooperation requires the exchange of state data that is time sensitive and thus, applications should be aware of data temporal coherency. In this paper we describe the(More)
The coordination methodologies of CAMBADA, a robotic soccer team designed to participate in the RoboCup middle-size league (MSL), are presented. The approach, which relies on information sharing and integration within the team, is based on formations, flexible positionings and dynamic role and positioning assignment. Role/positioning assignment follows a(More)
Motivated by the need to support language-based communication between robots and their human users, as well as grounded symbolic reasoning, this paper presents a learning architecture that can be used by robotic agents for long-term and open-ended category acquisition. In this learning architecture, multiple object representations and multiple classifiers(More)
Interest on using mobile autonomous agents has been growing, recently, due to their capacity to cooperate for diverse purposes, from rescue to demining and security. However, such cooperation requires the exchange of state data that is time sensitive while achieving timeliness with RF communication is intrinsically difficult due to the openess of the(More)
Interest on using mobile autonomous agents has been growing, recently, due to their capacity to cooperate for diverse purposes, from rescue to demining and security. Such cooperation typically requires the exchange of state data that is time sensitive and thus, applications should be aware of data temporal coherency. In order to provide such information a(More)
C omplex systems are getting to the point where it almost feels as if " someone " is there behind the interface. This impression comes across most strongly in the field of robotics because these agents are physically embodied, much as humans are. We believe that this phenomenon has four primary components: A system must be able to • act in some reasonably(More)
This paper addresses the problem of grounding semantic representations in intelligent service robots. In particular, this work contributes to addressing two important aspects, namely the anchoring of object symbols into the perception of the objects and the grounding of object category symbols into the perception of known instances of the categories. The(More)