Current trend in automation area is focused to the innovation in all fields of the technologies and technological devices. Probably industrial robots and manipulators belong to development too. Industrial robots and manipulators belong to progressive elements of automation. Modern concept uses the offline programming as a tools integration of the virtual CAD models into programming environment. Offline programming carries a lot of advantages for example possibility of the programming without real robot system, possibility of the collision state debugging. Implementation of CAD models in virtual environment of Robot studio achieves better workplace station of creating robotic system and also it generates rather trajectories of the robot path in this system.

Designing of the conveyors and its control system with control program through the design tool "Virtual Commissioning" is very important in the digital era Industry 4.0. Virtual Commissioning was recently used to perform realistic virtual simulations in the early stages of development processes in automation of the conveyors too. The main benefit is the possibility of integrating and testing the control system through the simulation on the virtual model even before physically constructing the conveyor. The contribution focuses on the possibilities of transforming a real conveyor into a virtual model in the Siemens Tecnomatix Process Simulate program and integrating the Siemens S7-300 real control system to control the conveyor itself. In the model it was allowed to test and perform numerous variations and situations without physical intervention into the real conveyor and possible damage functional parts including through virtual reality. These experiments were subsequently evaluated and the control system optimized with respect to material flow and the developed PLC code on virtual model was verified on real conveyor control system.

The present article focuses on the possibilities of using Virtual Reality (VR) as a supporting tool by using the offline programming method for industrial robots. The philosophy of using such a process is hierarchically linked to the observance of methodological procedures for the proposal new workstations with using industrial robots. First, it is necessary to develop CAD models of the projected workplace, which can be imported into a suitable simulation environment for the creation of robotic simulations with support for visualization to the immersive VR environment. In our case, the CAD software Catia was used to develop a workstation, followed by integration of the CAD database into the simulation environment of Process Simulate (PS). Support for the visualization in the immersive environment of the Virtual Reality of Process Simulate was vested using the glasses headset HTC VIVE.

Efficiency of industrial production lines is crucial as it results in an improved production and utilization of available resources. Industry companies are constantly looking for new ways to improve workplace efficiency. Manufacturing industry trends to employ more flexible assembly cells with changes in programs and configurations for robots, and to achieve a high manufacturing efficiency. The various problems inherent in current mechanized product assembly are outlined, and potential organizational, technological, and engineering measures aimed at increasing the efficiency of product assembly are examined. Future developments in automated assembly are predicted. In order to improve the effectiveness of the cell, it is important to recognize measure and reduce losses in the assembly cell. The most effective method is to analyze the OEE (Overall Equipment Effectiveness) of the cell. It is developed design of assembly system under the project an intelligent assembly cell at the Institute of Production Systems and Applied Mechanics where after process running and debugging, based on the process analysis was evaluated, it is necessary to increase the efficiency of the cell. Deployment of monitoring, visualization and simulation are predicted defects that reduce overall system effectiveness. The project is aiming to develop an efficient intelligent manufacturing system integrating real time data collection, simulation, optimization and synthesis.