Human-Material-Flow Integration Research Topic 1.2

The vision of the Smart Factory Grid is the production of the future, which consists of many highly flexible, dynamically distributed and interconnected manufacturing systems. This should enable efficient production of small quantities with short set-up times. Central to this vision is the integration of an adaptive material flow that can handle both unpredictable transport orders and those that can be planned at short notice between the processing stations. Conventional transport systems such as conveyor belts or rail systems are unsuitable for this as they are rigid and not very adaptable. In contrast, autonomous robot systems, especially indoor flying robots, offer great potential. These utilize the previously unused airspace and enable flexible, dynamic transport of small parts that adapts to changing production conditions. An important aspect of this vision and research is the smooth cooperation between man and machine, because in the factories of the future, humans will also take on essential tasks such as maintenance and more complex production steps. Flying robots must therefore be designed in such a way that they can interact safely with humans and do not hinder their activities.

Challenges

The integration of indoor flying robots as part of a smart factory grid poses numerous challenges, mainly of a technical but also social nature. Safety is crucial, as the autonomous systems interact closely with humans and hazards such as collisions must be prevented at all costs. Employee acceptance is also important in order to seamlessly integrate the new technologies into everyday working life. The systems must also be robust enough to react flexibly to changing production conditions and unpredictable human behavior. The flying robots must therefore be resilient and able to assess their environment in real time to ensure safe operation. However, aspects such as efficiency (limited battery life), collaboration between drones and transportation mechanisms also play a role.

Research Approach

Innovative research approaches are being pursued to overcome these challenges. Path planning plays a central role in safety, but also in the general use of indoor flying robots to make material flows more flexible. This is based on Marcel Huptych's curve-shortening flow method (https://doi.org/10.1177/1729881420968687), which was also developed at VAL. For the interaction between humans and flying robots, approaches based on the use of augmented reality (AR) are being developed. This technology enables employees to visually display which actions the flying robots will perform next and makes it possible to mark “no-fly” and “no-go zones” in order to ensure safety and acceptance. As a further approach, concepts are being investigated that enable the simultaneous exchange of battery and transport charge or tool.

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