#Andrei ciobanu anemona how to#

Holons are the simplest physical elements of the system, which have the capabilities of independent actuation, and of cooperation with other holons in achieving global behavior for the whole colony structure. This paper investigates the holonic modeling of a self-reconfigurable multiple module robotic system which operates in a two dimensional space.

#Andrei ciobanu anemona how to#

Each entity (in this case robots) can execute a set of operations - offer a service (object assembly, part inspection, etc.), based on its attributes (execution speed, working envelope, dexterity, etc.) and resources (tools magazine, raw materials, components for assembly, vision system, network connectivity, etc.) The chapter presents a case study for intelligent robot services in holonic manufacturing and is focused on how to create an automated system which is capable to decompose the initial order in sets of operations based on the services which the robots can offer, transform the operations into robot programs and offer high availability services. In order to obtain the final product(s) which has been ordered, the production system must decompose each order into a set of operations based on the capability of the production system. In the holonic manufacturing framework, production systems must process the orders, starting from the basic order submitted by the client, which gives the information only about the type of the products and the quantity (and maybe the delivery date). The framework is illustrated through several examples namely with an elaborated case in remote sensing. The framework advocates a goal-driven approach with notions coming from business sciences to take into account quality of information for managing the fusion process. The framework comprises the characterization of a basic element of information and the definition of an IF cell as a basic IF system unit to achieve fusion of information. The proposed functional holonic structure is suitable for processing any level of information abstraction of the Joint Directors of Laboratory (JDL) data fusion model. are exploited here to develop an information fusion processing framework. The concepts of holon and informon developed by Koestler, Sulis, Alonso, Paggi et al. Several concepts borrowed from complex systems theory, informational philosophy and computer sciences have been integrated to conceptualize that framework.

This paper proposes a conceptual definition of an information fusion (IF) processing framework.