Resilience factors become critical when a system moves in a non-clearly defined environment, the so-called open-world context, i.e. a context that cannot be fully predicted and specified. It is also not possible to develop a single static solution that is suitable for all possible operating situations. Examples are cyber-physical systems such as autonomous vehicles or mobile robots.
Examples of resilience
Autonomous driving – level 5
Level 5 autonomous vehicles are in a completely open and highly complex context. They move on a four-lane highway just as in a dense city. They encounter a large number of different road users whose behavior is not foreseeable. In order for the vision of driverless cars to become reality, it is essential to enable the systems to adapt to their context. The aim is to maximize their benefits while at the same time ensuring safety.
Autonomous mobile robots
Mobile robots, which, for example, bring components or goods from A to B in storage logistics, also move in an open context. For example, they have to avoid people, bypass obstacles and orient themselves independently.
Automation with cobots – robots working together with humans
Whenever systems have to interact with people, unpredictable changes in the context can occur. Examples of this are collaborating robots – so-called cobots. They cooperate with human workers in the manufacturing environment, for example – ideally hand in hand. In this connection, the robot system must always adapt to humans. While the robot always works in the same way, this is not the case with the worker. The latter’s receptivity, for example, may change – depending on the time of day, individual characteristics or personal motivation.