'Subsumption architecture' diaporamas de présentation

Agent Based Software Development

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ROBOTICS COE 484 Robotic Control Architecture

ROBOTICS COE 484 Robotic Control Architecture. Lecture Outline. Reactive control Perceptual states, command arbitration Subsumption architecture Control system organization / decomposition Designing in Subsumption Layering AFSMs Using the world as a model Example:

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Non-Symbolic AI lecture 5

Non-Symbolic AI lecture 5. We shall look at 2 alternative non-symbolic AI approaches to robotics Subsumption Architecture Evolutionary Robotics. When building robots, the Classical AI approach has the robot as a scientist-spectator , seeking information from outside.

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Autonomous Mobile Robots CPE 470/670

Autonomous Mobile Robots CPE 470/670. Lecture 8 Instructor: Monica Nicolescu. Review. Control Architectures Languages for robot control Computability Organizing principles Architecture selection criteria Reactive control. Reactive Control.

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Autonomous Mobile Robots CPE 470/670

Autonomous Mobile Robots CPE 470/670. Lecture 8 Instructor: Monica Nicolescu. Review. Control Architectures Languages for robot control Computability Organizing principles Architecture selection criteria Reactive control. Reactive Control.

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Autonomous Mobile Robots CPE 470/670

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Autonomous Mobile Robots CPE 470/670

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Project Number One

Project Number One. Flow charting and sensor multiplexing project. PROJECT ONE: MAIN OBJECTIVE. The specific objective of this contest is to build a computer controlled Robot that can move through a model floor plan structure of a house,

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LECTURE 5: REACTIVE AND HYBRID ARCHITECTURES

LECTURE 5: REACTIVE AND HYBRID ARCHITECTURES. An Introduction to MultiAgent Systems http://www.csc.liv.ac.uk/~mjw/pubs/imas. Reactive Architectures. There are many unsolved (some would say insoluble) problems associated with symbolic AI

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Chapter 15: Agents

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Topics: Introduction to Robotics CS 491/691(X)

Topics: Introduction to Robotics CS 491/691(X). Lecture 8 Instructor: Monica Nicolescu. Review. Control Architectures Languages for robot control Computability Organizing principles Architecture selection criteria Reactive control. Reactive Control.

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Chapter 19 Intelligent Agents

Chapter 19 Intelligent Agents. AI Agents. http://www.aaai.org/AITopics/html/agents.html. Chapter 19 Contents (1). Intelligence Autonomy Ability to Learn Other Agent Properties Reactive Agents Utility-Based Agents Utility Functions Interface Agents Mobile Agents.

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Design of Very Lightweight Agents for Reactive Embedded Systems

Design of Very Lightweight Agents for Reactive Embedded Systems. Daniel Mosse University of Pittsburgh. Jae C. Oh Madhura S. Tamhankar Syracuse University. April 8, 2003 ECBS 2003 Huntsville, Alabama. Overview. Very Lightweight Agent Definition Motivating Application

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Artificial Intelligence Chapter 2 Stimulus-Response Agents

Artificial Intelligence Chapter 2 Stimulus-Response Agents. Outline. 2.1 Perception and Action Perception Action Boolean Algebra Calsses and Forms of Boolean Functions 2.2 Representing and Implementing Action Functions Production Systems Networks The Subsumption Architecture.

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Artificial Intelligence Chapter 2 Stimulus-Response Agents

Artificial Intelligence Chapter 2 Stimulus-Response Agents. Biointelligence Lab School of Computer Sci. & Eng. Seoul National University. Outline. 2.1 Perception and Action Perception Action Boolean Algebra Classes and Forms of Boolean Functions

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CONTENTS

CONTENTS. Types of intelligence Methods used for mobile robots Computational intelligence in robotics system Sensory network for perceiving environment Mobile Robotic system based on a fuzzy controller Collision avoidance by a fuzzy controller Case Study of Mirosot Robot .

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