Unlike traditional automation, the evolution of robotics allows human-machine collaboration. Instead of repeating the same cycles in a fixed sequence, it adapts according to the context, achieving full cooperation with the enviroment. Similarly, several robots can collaborate with each other for the following purposes:
Nowadays, industries -especially the transport industry- are faced to find flexible and advanced technologies that help improve productivity, reduce the human factor risks and promote a global sustainable development. These solutions have to consider aspects such as economic viability, scalability and smartization.
Nevertheless, flexible and mobile robotic system technologies are still in the research and development phase, so it is necessary to know and understand the roadmap being followed by all stakeholders. This, allows to identify new research topics and determine strategies that enable the acceleration of development and implementation of these technologies.
For this reason, ODIN Project is focused on bringing these slutions to the market, not only to demonstrate that novel robot-based production systems are technically feasible, but also efficient and sustainable for immediate introduction at the shopfloor.
In this regard, all the scientific publications hosted in the main research database from 2015 to 2021 related to flexible and mobile robotic systems and transport sector were retrieved and analyzed using advanced bibliometric techniques. As a result, three main research areas could be identified: (i) Robotic Systems, (ii) Advanced Control Systems, and (iii) Robotic Applications.
Considering the main research topics identified in the scientific literature, it can be highlighted the relationship with other knowledge areas suchs artificial intelligence, machine learning, internet of things and wireless connectivity.
Ultimately, the challenge lies in defining processes that simultaneously meet the following requirements:
This line of action is specific to each manufacturing technology since the solution to be applied is highly dependent on the specific process, although there are a number of common actions that can be covered. The development of this line of action favors the implementation of mass customization strategies, which will be also tackled in some ODIN Project demonstrators.
Author: AIC-Automotive Intelligence Center (Technical Unit)