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Conceptual Framework for Knowledge-Based Decision Migration in Multi-Component Robots : Ambiente concettuale per la migrazione della decisione basata sulle conoscenze per robot multicomponente, in: International Journal of Advanced Robotic Systems

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Author Rai, Laxmisha; Hong, Jiman
Published  InTech Open Access Publisher, 2013
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Abstract This paper presents a conceptual framework
for dynamically migrating the decisions of multicomponent
robots within different physical subcomponents.
At the higher layer, a decision‐making
distributed migration system embeds the rules written
in a knowledge‐based system (KBS). The rules are
written and decisions are made at one component,
which can be migrated by the underlying distributed
system. This eventually results in intelligent migration
of the decisions and robot survival, irrespective of a
particular physical component failure. Moreover, a
robot does not need an exclusive control system for each
component. The implementation is a two‐step process.
Initially, component‐specific facts are identified and
mapped to suit to respective components and to write
rules and explore different gestures and behaviour of
the robot. The second step is the embedding of these
rules within the distributed or agent‐based system and
allowing the decisions to float around the system. The
Jess (Java Expert System Shell) expert system is used as
the knowledge‐based tool and different gestures are
generated to realize the proposed method.
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no fulltext found International Journal of Advanced Robotic Systems
Author: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Published: 2004
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Documents: International Journal of Advanced Robotic Systems
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Time of publication 2013
License information Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License

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