The dimensioning of the number of manipulators required to execute pick and place tasks in an efficient way depends on the complexity of such plants, on the characteristics of the production line and on its requirements. These aspects introduce a certain degree of complexity in the sizing procedure, making it rather time consuming. The results are strictly dependent on the accuracy of the input data, which are usually inaccurate and unreliable, especially in the first part of the design phase. Commercial simulation tools currently available are not always suitable to face the above-mentioned issues. This paper describes a straightforward technique to define the number of manipulators needed in an industrial plant to perform pick and place tasks. This procedure relies on a rather simple algorithm exploitable to evaluate the number of robots required in a production line, based on the knowledge of the layout, the kind of robot adopted and the production characteristics. The tool can simulate various distribution of goods on the line and the required picking strategies in a multi robot environment. The sizing accuracy is then test based on several production situations.
A Simplified Approach to Size Multi-robot System for Pick and Place Applications
Castelli K.;
In corso di stampa
Abstract
The dimensioning of the number of manipulators required to execute pick and place tasks in an efficient way depends on the complexity of such plants, on the characteristics of the production line and on its requirements. These aspects introduce a certain degree of complexity in the sizing procedure, making it rather time consuming. The results are strictly dependent on the accuracy of the input data, which are usually inaccurate and unreliable, especially in the first part of the design phase. Commercial simulation tools currently available are not always suitable to face the above-mentioned issues. This paper describes a straightforward technique to define the number of manipulators needed in an industrial plant to perform pick and place tasks. This procedure relies on a rather simple algorithm exploitable to evaluate the number of robots required in a production line, based on the knowledge of the layout, the kind of robot adopted and the production characteristics. The tool can simulate various distribution of goods on the line and the required picking strategies in a multi robot environment. The sizing accuracy is then test based on several production situations.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
