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Alcor Laboratory is located at Quarto Miglio (fourth mile of the Appia Antica), via San
Tarcisio 77.
Here is the web page (still under construction) of the ALCOR research group
Here are some pictures of the laboratory with built in rescue arenas mosaic,
lab1, lab2, some of the mannequins we use for victim recognition
in rescue arenas.
People
Projects:
LISBON
2004
OSAKA
2005
Ras1,
Ras2, Report-2003
HISTORY
The ALCOR laboratory was founded in 1998 at DIS (Dipartimento di Informatica e Sistemistica, Università di Roma “La
Sapienza”) with the aim at understanding the rational of a cognitive robotics system, building a full autonomous system.
Starting with simple
tiny robots we have been developing, over more sophisticated platforms, a series of autonomous systems. Armandino1,
Armandino2, Armandino3
Mr. ArmandX
DORO
Shrimp
ALCOR mission is now to develop autonomous systems capable of an
intelligent interaction with the environment. A system showing an intelligent interaction is one manifesting awareness of the environment and being attentive and
driven by curiosity and interest for its surroundings, recognizing places, some class of objects, and akin to learn to manage its behaviours.
We mainly focus on endowing an autonomous system with a sophisticated sensory apparatus, and with an adequate data
modeling and elaboration structure deploying perception, reasoning with time-uncertainty-modalities, learning, and decision theoretic planning, in order to execute complex tasks.
The scientific methodologies adopted,
from the Artificial Intelligence Community, serve to develop the following autonomous skills: Attentive Perception: stereo-cameras
on a pan-tilt head, coupled with lasers on their own pan-tilt, and thermocamera.
Proximity and guidance: sonar, inertial
platform, laser range finders, odometers. Active and dynamic learning for objects recognition, for
learning concepts and behaviours, using
classification, reward and imitation based techniques. Decision-theoretic methods utility based to determine behavioural strategies.
Mission planning
and scheduling for goals and resources management and Reactive planning to control short-range behaviours. Cognitive architecture to give the system a full
range power of integration and a high level capability to manage its own different functionalities.
Mobility
Presently only the shrimp (platform from bluebotics) is adequate for mobility on rough
terrains.
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This site was last updated 01/09/06
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