Modular Behavior Control for a Cognitive Robot

P. Ratanaswasd; Will Dodd; K. Kawamura; D. C. Noelle

doi:10.1109/ICAR.2005.1507487

Modular Behavior Control for a Cognitive Robot

P. Ratanaswasd, Will Dodd, K. Kawamura, D. C. Noelle

Vanderbilt University

Research output: Contribution to conference › Presentation

Abstract

We propose a method for a cognitive robot behavior control in which a small number of behaviors are loaded into a workspace, called working memory, where they are combined to generate actions during a task execution. We use the existing components in our cognitive robot architecture, such as the long-term memory, the short-term memory, with the addition of a working memory system and a control mechanism called the central executive agent to create a modular control system. This control method is used to drive the behaviors of our humanoid robot ISAC

Original language	American English
DOIs	https://doi.org/10.1109/ICAR.2005.1507487
State	Published - Jul 18 2005
Externally published	Yes
Event	International Conference on Advanced Robotics - Seattle, WA Duration: Jul 18 2005 → …

Conference

Conference	International Conference on Advanced Robotics
Period	7/18/05 → …

Keywords

artificial intelligence
behavioral control - robotics
cognitive robotics
robotics

Disciplines

Robotics
Artificial Intelligence and Robotics

Access to Document

10.1109/ICAR.2005.1507487License: Unspecified

Cite this

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title = "Modular Behavior Control for a Cognitive Robot",

abstract = " We propose a method for a cognitive robot behavior control in which a small number of behaviors are loaded into a workspace, called working memory, where they are combined to generate actions during a task execution. We use the existing components in our cognitive robot architecture, such as the long-term memory, the short-term memory, with the addition of a working memory system and a control mechanism called the central executive agent to create a modular control system. This control method is used to drive the behaviors of our humanoid robot ISAC ",

keywords = "artificial intelligence, behavioral control - robotics, cognitive robotics, robotics",

author = "P. Ratanaswasd and Will Dodd and K. Kawamura and Noelle, \{D. C.\}",

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doi = "10.1109/ICAR.2005.1507487",

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AU - Ratanaswasd, P.

AU - Dodd, Will

AU - Kawamura, K.

AU - Noelle, D. C.

N1 - We propose a method for a cognitive robot behavior control in which a small number of behaviors are loaded into a workspace, called working memory, where they are combined to generate actions during a task execution.

PY - 2005/7/18

Y1 - 2005/7/18

N2 - We propose a method for a cognitive robot behavior control in which a small number of behaviors are loaded into a workspace, called working memory, where they are combined to generate actions during a task execution. We use the existing components in our cognitive robot architecture, such as the long-term memory, the short-term memory, with the addition of a working memory system and a control mechanism called the central executive agent to create a modular control system. This control method is used to drive the behaviors of our humanoid robot ISAC

AB - We propose a method for a cognitive robot behavior control in which a small number of behaviors are loaded into a workspace, called working memory, where they are combined to generate actions during a task execution. We use the existing components in our cognitive robot architecture, such as the long-term memory, the short-term memory, with the addition of a working memory system and a control mechanism called the central executive agent to create a modular control system. This control method is used to drive the behaviors of our humanoid robot ISAC

KW - artificial intelligence

KW - behavioral control - robotics

KW - cognitive robotics

KW - robotics

UR - https://ieeexplore.ieee.org/document/1507487

U2 - 10.1109/ICAR.2005.1507487

DO - 10.1109/ICAR.2005.1507487

M3 - Presentation

T2 - International Conference on Advanced Robotics

Y2 - 18 July 2005

ER -

Modular Behavior Control for a Cognitive Robot

Abstract

Conference

Keywords

Disciplines

Access to Document

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