Figure 1 - uploaded by Bernhard Dieber
Content may be subject to copyright.
Qualitative representation of a graphical optimization tool (e.g. Robotmaster)
Source publication
From cutting shapes out of metal or wood to welding, screwing or lifting heavy objects, the application and versatility of robots in industry is vast. Their programs however are typically very static and only used in pre-defined, static settings, thus they cannot deal with changing production tasks. Whenever a special problem has to be solved sever...
Contexts in source publication
Context 1
... case that the degree of redundancy is 1, a two-dimensional visualization helps to find a proper trajectory taking, e.g. static obstacles, joint limits and performance criteria into account, see Figure 1. This illustration is inspired by Robotmaster and the proposed method in [13]. ...
Citations
... The tracking simulator consists of a parameter estimator, which is implemented in Matlab, and the HSC simulation model. An overview of the constellation is shown in Fig. 8. Petschnigg et al. [52] realized an interface to robot operating system (ROS). As a simulation platform, they use CoppeliaSim (formerly V-REP). ...
... Virtual robots are used to reduce the companies' time-to-market and to improve the production processes. [52] Petschnigg et al. [52] mention several difficulties of using simulation for robot operation: ...
... Virtual robots are used to reduce the companies' time-to-market and to improve the production processes. [52] Petschnigg et al. [52] mention several difficulties of using simulation for robot operation: ...
The importance of simulation at the machine level in industrial environments is steadily increasing especially in the design and commissioning phase. Using models during the operation phase together with the real machine or plant is referred to as online simulation. Online simulation is used for system monitoring, predictive analyses, decision support, or online optimization and therefore has various advantages and a wide field of applications. This paper aims to characterize online simulation at the machine level in industrial automation focusing on key technologies and common applications. Therefore, a set of 65 relevant publications, which are focusing on this subject, is found by database search, expert consultation, and snowballing. As key technological aspects, the used model types, interfaces, and platforms, and the aspects of initialization and synchronization are further investigated. The results are interpreted and limitations, knowledge gaps, and future prospects are discussed. The potential of online simulation at the machine level especially arises due to the increasing availability of component and machine models from the design and commissioning phase, which can be reused for online simulation. The remaining challenges are identified concerning implementation, simulation platforms, model maintenance, and especially in the field of synchronization.
With the continuous deepening of the application of information technology in the manufacturing field, the informatization of manufacturing systems has developed from unit digital manufacturing to integrated networked manufacturing, and then to comprehensive digital, networked and intelligent manufacturing. As a comprehensive information technology integrating computer, model theory, and scientific computing, the modeling and simulation technology plays an irreplaceable role in the development process of manufacturing informatization and is widely applied in all stages of product life cycle containing design, production, testing, maintenance, procurement and sales. This paper reviews and summarizes the research and application of modeling and simulation technology in manufacturing, and analyzes typical simulation techniques in manufacturing from aspects of manufacturing unit simulation, manufacturing integrated simulation and manufacturing intelligent simulation.
