Three-dimensional object recognition system for enhancing the intelligence of a KUKA robot

Machine intelligence has been a research hotspot in mechatronics in recent years. This research presents a 2D/3D object recognition system for enhancing the intelligence of an industrial robot (KUKA robot). The image processing and object recognition algorithms were developed using software packages VisionPro and LabVIEW. Experiments were carried out to verify the performance of the system. It can be concluded that the system is able to recognise any general 2D object within a time of six seconds. The performance of the system in 3D object recognition is slower compared to 2D objects, which is largely affected by the number of trained images stored in the database, the complexity of the object, and the presence of similar objects in the database. Despite the complexity of the objects being recognised, both the overall accuracy and success rate of the system are close to 100%. The developed system proved to be robust and allows for automatic recognition of objects in the manufacturing environment described in this paper.