VISUAL PROGRAMMING FOR AGENT TASKS AND CELL RECONSTRUCTION

Each device in the robot assembly cell is defined as a dependent agent in the paper. By means of Petri net models, basic modeling structures for operations of each agent task are defined as the modeling library based on multi\|agent. By visually reconstructing agent model elements, it is possible to realize not only the reconstruction of geometrical elements in the robot cell but also the reconstruction of working tasks. A structure based on layered nodes and node slots is presented and applied to organize and manage visual units according to their classes. The structure is applied to solve mapping problems between visual marks and their operation tasks, and supply a visual task programming design interface based on directly operation for users. With the navigation of visual interactive scheme based on object\|oriented layered visual units, the relations among agents are defined and the guidance of layout and reconstruction processes for user cells is finally completed. Thus, a robot cell visual layout and reconstruction system and a robot cell task visually programming platform are implemented.