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Paul Fitzpatrick
Researcher at Massachusetts Institute of Technology
Publications - 38
Citations - 2590
Paul Fitzpatrick is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Robot & Humanoid robot. The author has an hindex of 20, co-authored 38 publications receiving 2492 citations. Previous affiliations of Paul Fitzpatrick include University of Genoa & Istituto Italiano di Tecnologia.
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Journal ArticleDOI
YARP: Yet Another Robot Platform:
TL;DR: The goal of YARP is to minimize the effort devoted to infrastructure-level software development by facilitating code reuse, modularity and so maximize research-level development and collaboration by encapsulating lessons from the experience in building humanoid robots.
Proceedings ArticleDOI
Learning about objects through action - initial steps towards artificial cognition
TL;DR: It is shown how the humanoid robots can learn how to poke and prod objects to obtain a consistently repeatable effect and to interpret a poking action performed by a human manipulator.
Journal ArticleDOI
Towards long-lived robot genes
TL;DR: The YARP robot software architecture, which helps organize communication between sensors, processors, and actuators so that loose coupling is encouraged, making gradual system evolution much easier, and is designed to play well with other architectures.
Proceedings ArticleDOI
An open-source simulator for cognitive robotics research: the prototype of the iCub humanoid robot simulator
Vadim Tikhanoff,Angelo Cangelosi,Paul Fitzpatrick,Giorgio Metta,Lorenzo Natale,Francesco Nori +5 more
TL;DR: The prototype of a new computer simulator for the humanoid robot iCub, developed as part of a joint effort with the European project "ITALK" on the integration and transfer of action and language knowledge in cognitive robots.
Journal ArticleDOI
Better Vision Through Manipulation
Giorgio Metta,Paul Fitzpatrick +1 more
TL;DR: It is argued that following causal chains of events out from the robot's body into the environment allows for a very natural developmental progression of visual competence, and this idea is related to results in neuroscience.