What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Cognition
- Cognitive science
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 most cited work include:
- Simulating the evolution of language (383 citations)
- The Emergence of a 'Language' in an Evolving Population of Neural Networks (185 citations)
- Developmental Robotics: From Babies to Robots (183 citations)
What are the main themes of his work throughout his whole career to date?
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
- Developmental robotics and related Cognitive development,
- Symbol grounding which is related to area like Concept learning and Cognitive model.
His Humanoid robot study integrates concerns from other disciplines, such as Theory of mind, Neurorobotics and Mental image.
He most often published in these fields:
- Artificial intelligence (54.42%)
- Robot (37.89%)
- Artificial neural network (21.37%)
What were the highlights of his more recent work (between 2018-2021)?
- Robot (37.89%)
- Artificial intelligence (54.42%)
- Human–computer interaction (17.66%)
In recent papers he was focusing on the following fields of study:
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.
Between 2018 and 2021, his most popular works were:
- Would a robot trust you? Developmental robotics model of trust and theory of mind (21 citations)
- Shall I Trust You? From Child-Robot Interaction to Trusting Relationships. (15 citations)
- Human robot collaborative intelligence: Theory and applications (10 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Cognition
- Machine learning
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.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
