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Miniaturizing the brain of a drone  2017-07-12
Method for designing efficient computer chips may get miniature smart drones off the ground.
Combining Gradient-Based With Evolutionary Online Learning: An Introduction to Learning Classifier Systems  2007-10-30
Seventh International Conference on Hybrid Intelligent Systems (HIS 2007), 12-17.
Teleoperating robots with virtual reality  2017-10-11
A virtual reality system from the Computer Science and Artificial Intelligence Laboratory could make it easier for factory workers to telecommute.
Trajectory learning through motor babbling: reaching with obstacle avoidance.  2008-05-15
Ferrauto Tomassino, Ognibene Dimitri, Caligiore Daniele, Baldassare Gianluca (2007). Trajectory learning through motor babbling: reaching with obstacle avoidance. In Nicosia Giuseppe, Pavone Mario, Atti del Quarto Workshop Italiano di Vita Artificiale e Computazione Evolutiva (WIVACE 2007) (In formato elettronico). Catania: Università di Catania. (Baia Samuele, Sampietri, Italia, 5-7 Settembre 2007).
From Actions to Goals and Vice-versa: Theoretical Analysis and Models of the Ideomotor Principle and TOTE  2007-04-15
Pezzulo, G.; Baldassarre, G.; Butz, M.V.; Castelfranchi, C. & Hoffmann, J. From Actions to Goals and Vice-versa: Theoretical Analysis and Models of the Ideomotor Principle and TOTE. In Butz, M.; Sigaud, O.; Pezzulo, G. & Baldassarre, G. (ed.) Anticipatory Behavior in Adaptive Learning Systems: Advances in Anticipatory Processing, Springer LNAI 4520, 2007
“Superhero” robot wears different outfits for different tasks  2017-09-27
Shape-shifting device from CSAIL can walk, roll, sail, and glide using recyclable exoskeletons.
RNN-based Learning of Compact Maps for Efficient Robot Localization  2007-04-17
A. Foerster, A. Graves, J. Schmidhuber: RNN-based Learning of Compact Maps for Efficient Robot Localization. ESANN 2007.
Startup bringing driverless taxi service to Singapore  2016-03-24
Fleet of autonomous vehicles will serve as convenient form of public transit while reducing emissions.
“Exhibitionists” and “Voyeurs” do it better: a Shared Environment for Flexible Coordination with Tacit Messages  2007-04-10
Tummolini, L., Castelfranchi C., Ricci, A. Viroli, M., Omicini, A. (2005); in H. van Parunak, D. Weyns (Eds.) Lecture Notes in Artificial Intelligence, LNAI 3374, Sringer-Verlag Heidelberg, pp. 215-231.
 

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Anticipatory Cognitive Science is a research field that ensembles artificial intelligence, biology, psychology, neurology, engineering and philosophy in order to build anticipatory cognitive systems that are able to face human tasks with the same anticipatory capabilities and performance. In deep: Cognitive science is the interdisciplinary study of mind and intelligence, embracing philosophy, psychology, artificial intelligence, neuroscience, linguistics, and anthropology. Its intellectual origins are in the mid-1950s when researchers in several fields began to develop theories of mind based on complex representations and computational procedures. Its organizational origins are in the mid-1970s when the Cognitive Science Society was formed and the journal Cognitive Science began. Since then, more than sixty universities in North America, Europe, Asia, and Australia have established cognitive science programs, and many others have instituted courses in cognitive science.