Fabian Ranz, Fraunhofer Austria
Abstract: Due to the complexity of assembly processes, a high ratio of tasks is still performed by human workers, resulting in high labor costs and undemanding, monotonous working conditions.
Human-Robot-Collaboration (HRC) Systems can counter these challenges by adding automated resources to manual work systems and thereby improve operating cost and work conditions by deploying resources – human or robot – in accordance with their specific capabilities and respective process requirements. Widely established assembly planning procedures only facilitate the design of purely manual work system. In this thesis, a new planning approach for HRC in cyber-physical assembly systems will be developed and validated that helps to automatically identify suitable tasks for each of the resources and optimize their allocation under consideration of resource capabilities and operational objectives such as throughput times and total cost.