This paper deals about robotic system design. The design process is realized by CA systems in virtual robotic laboratory. These CA systems allow implementing the robotic system design graphics layout and simulating the control and robot movement in virtual platform.

In currently designed robotic systems, great emphasis is focused to optimal choice of the appropriate position (smart place) of a particular type of industrial robot. Depending on the chosen application, whether it is a handling, technological or assembly operation, it is very important to choose a suitable type of robot and end effector. Many problems in actually deployed production systems arise from the inappropriately chosen kinematic structure of an industrial robot, where either the robot cannot achieve the required production cycle, or its size or load capacity is incorrectly selected for a given type of the operation, or in some cases the robot does not achieve all required robot targets of the future robotic workplace. In the currently available methods of designing future robotic systems, the pre-production phase of designing and creating various robotic simulations scenarios a very important role in order to verify the robot’s reachability to the required positions, as well as eliminate possible collisions states with different peripherals, etc.. This article aims to point out to the new possibilities of deploying modern technologies in the form of the use of virtual and augmented reality in the chosen case study. The authors aim to show and verify in the VR and AR environment the suitability of the selected type of industrial robot for the selected operation, to simulate and validate the proposed robotic trajectories as well as the final robotic Pick and Place operation for the selected case study.

Operation analysis one of the system scientific disciplines closely related to system engineering. This discipline is part of praxeology. Praxeology deals with the research effectiveness of the procedure methods for all areas of human activity. The aim of this analysis is creating solved situation model and their optimization. Optimization is model extremes finding. There are model parameters values that output achieved minimum or maximum. Competitive environment is the reason for finding optimal solutions in the production process.

Machining of different materials brings increasing of productivity, economical effectivity and quality of work piece. Constant development of Robotics and information systems brings new views of using robots in a process of production. Instead of using robots for a purpose of manipulation with work pieces, it is possible to use a robot directly for machining. Robotics machining technology has its advantage in application, which represents an adequate alternative in machining of metals on tradition of machine systems. The aim of the suggested plan of the experiment is to identify the optimal approach and combinations of each parameter during milling.

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