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General information |
| Author |
Stipancic, Tomislav; Jerbic, Bojan; Curkovic, Petar |
| Published |
InTech Open Access Publisher, 2012
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| Abstract |
The objective of this paper is to present an
ongoing development of a context‐aware system used
within industrial environments. The core of the system is
so‐called Cognitive Model for Robot Group Control. This
model is based on well‐known concepts of Ubiquitous
Computing, and is used to control robot behaviours in
specially designed industrial environments. By using
sensors integrated within the environment, the system is
able to track and analyse changes, and update its
informational buffer appropriately. Based on freshly
collected information, the Model is able to provide a
transformation of high‐level contextual information to
lower‐level information that is much more suitable and
understandable for technical systems. The Model uses
semantically defined knowledge to define domain of
interest, and Bayesian Network reasoning to deal with
the uncertain events and ambiguity scenarios that
characterize our naturally unstructured world. |
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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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