Giorgio Metta

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Developmental robotics is an emerging field located at the intersection of robotics, cognitive science and developmental sciences. This paper elucidates the main reasons and key motivations behind the convergence of fields with seemingly disparate interests, and shows why developmental robotics might prove to be beneficial for all fields involved. The(More)
Starting from human “sense of touch,” this paper 3 reviews the state of tactile sensing in humanoid robotics. The phys4 iology, coding, and transferring tactile data and perceptual impor5 tance of the “sense of touch” in humans are discussed. Following 6 this, a number of design hints derived for robotic tactile sensing are 7 presented. Various technologies(More)
Within the field of Neuro Robotics we are driven primarily by the desire to understand how humans and animals live and grow and solve every day’s problems. To this aim we adopted a “learn by doing” approach by building artificial systems, e.g. robots that not only look like human beings but also represent a model of some brain process. They should, ideally,(More)
This survey presents an overview of the autonomous development of mental capabilities in computational agents. It does so based on a characterization of cognitive systems as systems which exhibit adaptive, anticipatory, and purposive goaldirected behaviour. We present a broad survey of the various paradigms of cognition, addressing cognitivist (physical(More)
We report about the iCub, a humanoid robot for research in embodied cognition. At 104 cm tall, the iCub has the size of a three and half year old child. It will be able to crawl on all fours and sit up to manipulate objects. Its hands have been designed to support sophisticate manipulation skills. The iCub is distributed as Open Source following the GPL/FDL(More)
Experimentation is crucial to human progress at all scales, from society as a whole to a young infant in its cradle. It allows us to elicit learning episodes suited to our own needs and limitations. This paper develops active strategies for a robot to acquire visual experience through simple experimental manipulation. The experiments are oriented towards(More)
Robot projects are often evolutionary dead ends, with the software and hardware they produce disappearing without trace afterwards. In humanoid robotics, a small field with an avid appetite for novel devices, we experience a great deal of “churn” of this nature. In this paper, we explore how best to make our projects stable and long-lasting, without(More)
This paper presents the prototype of a new computer simulator for the humanoid robot iCub. The iCub is a new open-source humanoid robot developed as a result of the "RobotCub" project, a collaborative European project aiming at developing a new open-source cognitive robotics platform. The iCub simulator has been developed as part of a joint effort with the(More)
Novel applications in unstructured and non-stationary human environments require robots that learn from experience and adapt autonomously to changing conditions. Predictive models therefore not only need to be accurate, but should also be updated incrementally in real-time and require minimal human intervention. Incremental Sparse Spectrum Gaussian Process(More)