CORESENSE’s Post

Transcript

Modern manufacturing is evolving towards more flexibility and sustainability. And this is driven by robotics and AI mainly. In course, we are developing a theory of awareness and understanding, we are developing an architecture, and we are developing modules that will make robots be more flexible because they will understand better what their goal is, what their environment is and what they are doing. And this is so important in modern manufacturing, where masculinization requires robots that are flexible to new tasks. The first goal of course is to develop a theory of understanding and awareness for autonomous systems. Second goal is to develop a new cognitive architecture based on model based systems engineering. And 3rd 1:00 will be to apply that architecture and concepts to three testbeds based on real robotics applications to demonstrate the effectiveness of this new approach. Well, the main challenge that we are addressing is the question of making robots able to understand complex situation. This is always a difficult task for humans to specify how to do that. When things are changing and less than well understood, it is difficult for robots to operate properly. They do not have a proper understanding of situations. So that is the main challenge. Well, the project has many more packages that are oriented to different goals. We have a theoretical or packages that are addressing the basic processes. What they try to do is to create some new concepts for for new systems. We also have a technological world packages that are developing technological assets, software for constructing the system. We also have a baggage disoriented to specific applications. We want the technology to be useful for creating real systems. And we also have our packages related to dissemination, communication and the exploitation of the technology for building. So the role of different packages to is to cover all the aspects that are relevant in the construction of a technology. That can be really used to create the real world applications. The aims of course sense create communities around course and because it's open source, I am the leader of the world fights about Rose Russification. This world packet ensures that the older results that the course and produce follow the standards and the quality needed for the Rose community. We make sure that the those software assets are reusable by two mechanisms. The first one is using Ross because Ross using the standard interfaces. Independent from the robot we are using. The second one is having three test bed. They're very different test bed with three different goals. If we have success in the field test bed, we could make sure that course then could be independent from the robots. I expect that Coarsens will demonstrate how important understanding and awareness is for robots in particular compared to modern data-driven approaches to AI and controller of robots.