Search results for "Autonomous robot"

showing 5 items of 15 documents

The perception loop in CiceRobot, a museum guide robot

2009

The paper discusses a model of robot perception based on a comparison loop process between the actual and the expected robot input sensory data generated by a 3D robot/environment simulator. The perception loop process is operating in CiceRobot, a functional robot architecture implemented on an autonomous robot RWI B21 offering guided tours at the Archaeological Museum of Agrigento, Italy.

Personal robotSocial robotbusiness.industryComputer scienceCognitive NeuroscienceRoboticsMobile robotRoboticsAutonomous robotRobot learningMobile robot navigationMachine perceptionComputer Science ApplicationsRobot controlArtificial IntelligenceHuman–computer interactionRobotArtificial intelligencebusinessSimulationNeurocomputing
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Experiences with CiceRobot, a Museum Guide Cognitive Robot

2005

The paper describes CiceRobot, a robot based on a cognitive architecture for robot vision and action. The aim of the architecture is to integrate visual perception and actions with knowledge representation, in order to let the robot to generate a deep inner understanding of its environment. The principled integration of perception, action and of symbolic knowledge is based on the introduction of an intermediate representation based on Gardenfors conceptual spaces. The architecture has been tested on a RWI B21 autonomous robot on tasks related with guided tours in the Archaeological Museum of Agrigento. Experimental results are presented.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniCALIBRATIONVisual perceptionKnowledge representation and reasoningRobotbusiness.industryComputer scienceRoboticsCognitionCognitive architectureAutonomous robotCicerobotAction (philosophy)Knowledge baseHuman–computer interactionRobotMuseum guide robotArtificial intelligencebusiness
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Development of intelligent service robots

2013

The creation of intelligent robots has been a major goal of Artificial Intelligence since the early days and has provided many motivations to Artificial Intelligence researchers. Therefore, a large body of research has been done in this field and many relevant results have shown that integration of Artificial Intelligence and Robotics techniques is a viable approach towards this goal. This article summarizes the efforts and the achievements of several Italian research groups in the development of intelligent robotic systems characterized by a suitable integration of Artificial Intelligence and Robotic techniques. The contributions collected in this article show the long history of this rese…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniService (systems architecture)Computer scienceHumanoid RobotResearch streamData scienceING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONIField (computer science)autonomous robotics intelligent robots artificial intelligence roboticsWorld Wide WebIntelligent robotsArtificial IntelligenceSoftware deploymentRobot
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A Neural Multi-Agent Architecture for an Autonomous Mobile Robot Control

1999

The aim of this paper is to introduce a multi-agent architecture for an autonomous robot control oriented to obtain high design modularity and high parallelism of decision processes. A multi-agent approach allows us to design several specialized agents and each of them is optimized in order to solve a single part of the whole task. Each agent is able to cooperate with other agent exchanging information, so the robot is able to make the appropriate policy of management to reach a prefixed goal. We tested the proposed architecture with a simple application: an autonomous mobile robot performs object retrieval tasks into unknown structured environments. The robot is not given a priori map of t…

Task (computing)Engineeringbusiness.industryEmbedded systemDistributed computingRobotMobile robotObject (computer science)businessAutonomous robotAgent architectureModularityRobot control
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Decentralized classification in societies of autonomous and heterogenous robots

2011

This paper addresses the classification problem for a set of autonomous robots that interact with each other. The objective is to classify agents that “behave” in “different way”, due to their own physical dynamics or to the interaction protocol they are obeying to, as belonging to different “species”. This paper describes a technique that allows a decentralized classification system to be built in a systematic way, once the hybrid models describing the behavior of the different species are given. This technique is based on a decentralized identification mechanism, by which every agent classifies its neighbors using only local information. By endowing every agent with such a local classifie…

distributed algorithm0106 biological sciencesSpecies classification0209 industrial biotechnologyEngineeringbusiness.industrymulti-robot systemInteraction protocolRoboticsMobile robot02 engineering and technologyAutonomous robotconsensus protocols010603 evolutionary biology01 natural sciencesComputer Science::Multiagent SystemsIdentification (information)020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaRobotArtificial intelligenceSet (psychology)businessClassifier (UML)2011 IEEE International Conference on Robotics and Automation
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