ART2ool: a model-driven framework to generate target code for robot handling tasks

Nowadays, robotic manipulation tasks are present in modern production industries, making robotics a decisive discipline in the industrial sector. Additionally, in a short period of time, handle robots will be also become essential in daily life. There is an increase in demand for applications for handle robots with software requirements such as reusability, flexibility, and adaptability. Unfortunately, the current lack of standardization of hardware and software platforms hinders the fulfillment of these requirements. Hence, it is necessary to define a methodology that provides guidelines to design, implement, and support at runtime of such types of applications. This work explores the advantages of Model Driven Engineering (MDE) in the design and development of tasks performed by handle robots. Concretely, the authors present the ART2ool (Arm based Robotic Tasks modeling Tool), a MDE framework, which is very useful for application domain experts, because it guides them along the design of the application functionality, abstracting from the emerging techniques. Besides, the proposed framework supports an automatic code generation by Mode to Text transformation techniques for component-based and ROS communication middleware, achieving the requirements mentioned previously.