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检索条件"机构=Mobile Robot Laboratory College of Computing"
41 条 记 录,以下是1-10 订阅
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TEMPORAL COORDINATION OF PERCEPTUAL ALGORITHMS FOR mobile robot NAVIGATION
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IEEE TRANSACTIONS ON robotICS AND AUTOMATION 1994年 第3期10卷 276-286页
作者: ARKIN, RC MACKENZIE, D Mobile Robot Laboratory College of Computing Georgia Institute of Technology Atlanta GA USA
A methodology for integrating multiple perceptual algorithms within a reactive robotic control system is presented. A model using finite state acceptors is developed as a means for expressing perceptual processing ove... 详细信息
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COOPERATION WITHOUT COMMUNICATION - MULTIAGENT SCHEMA-BASED robot NAVIGATION
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JOURNAL OF robotIC SYSTEMS 1992年 第3期9卷 351-364页
作者: ARKIN, RC Mobile Robot Laboratory College of Computing Georgia Institute of Technology Atlanta GA 30332
Multiagent robotics affords the opportunity to solve problems more efficiently and effectively than any single agent could achieve. Nonetheless, communication bottle-necks between agents pose potentially serious drawb...
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Internalized Plans for Communication-Sensitive robot Team Behaviors
Internalized Plans for Communication-Sensitive Robot Team Be...
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2003 IEEE/RSJ International Conference on Intelligent robots and Systems
作者: Wagner, Alan R. Arkin, Ronald C. Mobile Robot Laboratory College of Computing Georgia Institute of Technology Atlanta United States
Autonomous teams of robots operating in a dynamic, adversarial environment stand to benefit from using all available resources. But how can knowledge be used to construct a plan that does not interfere with the robots... 详细信息
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Behavior-Based robot Navigation for Extended Domains
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Adaptive Behavior 1992年 第2期1卷 201-225页
作者: Arkin, Ronald C. Mobile Robot Laboratory College of Computing Georgia Institute of Technology Atlanta GA 30332-0280 United States
Behavior-based robotic systems have been successfully deployed for a wide range of planar ground-based tasks. This article describes how reactive (behavior-based) systems can be applied to new and more difficult targe... 详细信息
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Adaptive Multi-robot Behavior via Learning Momentum
Adaptive Multi-Robot Behavior via Learning Momentum
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2003 IEEE/RSJ International Conference on Intelligent robots and Systems
作者: Lee, J. Brian Arkin, Ronald C. Mobile Robot Laboratory College of Computing Georgia Institute of Technology Atlanta GA 30332-0280
In this paper, the effects of adaptive robotic behavior via Learning Momentum in the context of a robotic team are studied. Learning momentum is a variation on parametric adjustment methods that has previously been su... 详细信息
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Learning behavioral parametrization using spatio-temporal case-based reasoning
Learning behavioral parametrization using spatio-temporal ca...
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2002 IEEE International Conference on robotics and Automation
作者: Likhachev, Maxim Kaess, Michael Arkin, Ronald C. Mobile Robot Laboratory College of Computing Georgia Institute of Technology Atlanta GA United States
This paper presents an approach to learning an optimal behavioral parameterization in the framework of a Case-Based Reasoning methodology for autonomous navigation tasks. It is based on our previous work on a behavior... 详细信息
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Anticipatory robot Navigation by Simultaneously Localizing and Building a Cognitive Map
Anticipatory Robot Navigation by Simultaneously Localizing a...
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2003 IEEE/RSJ International Conference on Intelligent robots and Systems
作者: Endo, Yoichiro Arkin, Ronald C. Mobile Robot Laboratory College of Computing Georgia Institute of Technology Atlanta GA 30332-0280
This paper presents a method for a mobile robot to construct and localize relative to a "cognitive map", where the cognitive map is assumed to be a representational structure that encodes both spatial and be... 详细信息
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Forgetting bad behavior: Memory management for case-based navigation
Forgetting bad behavior: Memory management for case-based na...
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2004 IEEE/RSJ International Conference on Intelligent robots and Systems (IROS)
作者: Kira, Zsolt Arkin, Ronald C. Mobile Robot Laboratory College of Computing Georgia Institute of Technology Atlanta GA 30332-0250
In this paper, we present successful strategies for forgetting cases in a Case-Based Reasoning (CBR) system applied to autonomous robot navigation. This extends previous work that involved a CBR architecture which ind... 详细信息
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Mood as an affective component for robotic behavior with continuous adaptation via learning momentum
Mood as an affective component for robotic behavior with con...
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2010 10th IEEE-RAS International Conference on Humanoid robots, Humanoids 2010
作者: Park, Sunghyun Moshkina, Lilia Arkin, Ronald C. Mobile Robot Laboratory College of Computing Georgia Institute of Technology Atlanta GA 30332 United States
The design and implementation of mood as an affective component for robotic behavior is described in the context of the TAME framework - a comprehensive, time-varying affective model for robotic behavior that encompas... 详细信息
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On TAMEing robots
On TAMEing robots
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System Security and Assurance
作者: Moshkina, Lilia Arkin, Ronald C. Mobile Robot Laboratory GVU Center College of Computing Georgia Institute of Technology Atlanta GA United States
A range of issues is addressed regarding human interaction with autonomous robots, noting the lack of a coherent model to incorporate time varying and local/global effects on behavior. In particular, an experimental s... 详细信息
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