Angelo Cangelosi mainly investigates Artificial intelligence, Cognitive science, Cognitive robotics, Cognition and Robot. His Artificial intelligence research includes elements of Cognitive development, Machine learning and Natural language processing. His Cognitive science research includes themes of Noun, Communication, Artificial life, Symbol grounding and Psycholinguistics.
His work deals with themes such as Humanoid robot, iCub and Developmental robotics, which intersect with Cognitive robotics. His research in Cognition intersects with topics in Cultural transmission in animals and Computational model. In general Robot study, his work on Swarm robotics often relates to the realm of Fixed wing, thereby connecting several areas of interest.
His scientific interests lie mostly in Artificial intelligence, Robot, Artificial neural network, Cognitive science and Humanoid robot. The study incorporates disciplines such as Cognition and Natural language processing in addition to Artificial intelligence. His Cognition study incorporates themes from Action, Cognitive psychology, Perception and Embodied cognition.
His Robot research incorporates themes from Cognitive architecture, Computer vision, Human–computer interaction and Set. His research on Cognitive science also deals with topics like
His primary areas of study are Robot, Artificial intelligence, Human–computer interaction, Human–robot interaction and Humanoid robot. His biological study spans a wide range of topics, including Cognitive psychology, Set and Key. Robotics, iCub, Artificial neural network, Deep learning and Recurrent neural network are the core of his Artificial intelligence study.
He has included themes like Cognition and Perception in his Robotics study. He has researched Human–computer interaction in several fields, including Cognitive robotics, Embodied cognition, Intelligent agent, Interactive Learning and Cognitive architecture. His study in Humanoid robot is interdisciplinary in nature, drawing from both Consciousness, Theory of mind, Developmental robotics and Cognitive model.
Robot, Human–robot interaction, Artificial intelligence, Human–computer interaction and Humanoid robot are his primary areas of study. His Robot research is multidisciplinary, incorporating perspectives in Cognitive psychology and Applied psychology. His research is interdisciplinary, bridging the disciplines of Cognitive model and Artificial intelligence.
His Human–computer interaction research focuses on subjects like Deep learning, which are linked to Social intelligence and End user. His Humanoid robot research is multidisciplinary, incorporating elements of Neurorobotics, Consciousness, Artificial consciousness, Cognitive science and Developmental robotics. Angelo Cangelosi combines subjects such as Recurrent neural network, Noun, Cognitive architecture, Cognitive robotics and Theory of mind with his study of Developmental robotics.
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Simulating the evolution of language
Angelo Cangelosi;Domenico Parisi.
Developmental Robotics: From Babies to Robots
Angelo Cangelosi;Matthew Schlesinger.
The Adaptive Advantage of Symbolic Theft Over Sensorimotor Toil: Grounding Language in Perceptual Categories
Angelo Cangelosi;Stevan Harnad.
Evolution of Communication (2001)
The Emergence of a 'Language' in an Evolving Population of Neural Networks
Angelo Cangelosi;Domenico Parisi.
Connection Science (1998)
The mechanics of embodiment: a dialog on embodiment and computational modeling.
Giovanni Pezzulo;Lawrence W. Barsalou;Angelo Cangelosi;Martin H. Fischer.
Frontiers in Psychology (2011)
Cell division and migration in a ‘genotype’ for neural networks
Angelo Cangelosi;Domenico Parisi;Stefano Nolfi.
Network: Computation In Neural Systems (1994)
Integration of Action and Language Knowledge: A Roadmap for Developmental Robotics
A Cangelosi;G Metta;G Sagerer;S Nolfi.
IEEE Transactions on Autonomous Mental Development (2010)
Evolution of communication and language using signals, symbols, and words
IEEE Transactions on Evolutionary Computation (2001)
An open-source simulator for cognitive robotics research: the prototype of the iCub humanoid robot simulator
V. Tikhanoff;A. Cangelosi;P. Fitzpatrick;G. Metta.
performance metrics for intelligent systems (2008)
An Embodied Model for Sensorimotor Grounding and Grounding Transfer: Experiments with Epigenetic Robots.
Angelo Cangelosi;Thomas Riga.
Cognitive Science (2006)
Profile was last updated on December 6th, 2021.
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