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We survey developments in artificial neural networks, in behavior-based robotics, and in evolutionary algorithms that set the stage for evolutionary robotics (ER) in the 1990s. We examine the motivations for using ER as a scientific tool for studying minimal models of cognition, with the advantage of being capable of generating integrated sensorimotor(More)
— This position paper proposes that the study of embodied cognitive agents, such as humanoid robots, can advance our understanding of the cognitive development of complex sensorimotor, linguistic and social learning skills. This in turn will benefit the design of cognitive robots capable of learning to handle and manipulate objects and tools autonomously,(More)
—Active perception refers to a theoretical approach to the study of perception grounded on the idea that perceiving is a way of acting, rather than a process whereby the brain constructs an internal representation of the world. The operational principles of active perception can be effectively tested by building robot-based models in which the relationship(More)
Basic elements of cognition have been identified in the behaviour displayed by animal collectives, ranging from honeybee swarms to human societies. For example, an insect swarm is often considered a " super-organism " that appears to exhibit cognitive behaviour as a result of the interactions among the individual insects and between the insects and the(More)
—Populations of simulated agents controlled by dy-namical neural networks are trained by artificial evolution to access linguistic instructions and to execute them by indicating, touching or moving specific target objects. During training the agent experiences only a subset of all object/action pairs. During post-evaluation, some of the successful agents(More)
This study compares two different evolutionary approaches to the design of homogeneous multi-robot teams in a task that requires the agents to specialise in different roles. Our results diverge from what illustrated in a previous similar comparative study, which advocates for the superiority of the aclonal versus the clonal approach. We question this(More)
This article illustrates the methods and results of two sets of experiments in which a group of mobile robots, called <i>s-bots</i>, are required to physically connect to each other, that is, to self-assemble, to cope with environmental conditions that prevent them from carrying out their task individually. The first set of experiments is a pioneering study(More)
— We present a first attempt to accomplish a simple object manipulation task using the self-reconfigurable robotic system swarm-bot. The number of modular entities involved, their global shape or size and their internal structure are not predetermined , but result from a self-organized process in which the modules autonomously grasp each other and/or an(More)