A Novel Task Language for Natural Interaction in Human-Robot Systems for Warehouse Logistics

Abstract

This paper introduces a novel task description language for human-robot interaction in warehouse logistics to let human workers interact with robots in a natural way. Especially, in decentralized control systems with heterogeneous entities, humans have to retain control over the overall system. This work offers a simple way to build up teams consisting of humans and robots to efficiently use the capabilities of humans as well as robots. With the proposed system it is also possible to provide multi vendor-capabilities and allow an easy integration of robots. We are providing a solution, starting from the user input, converting it into a domain specific language and showing also the execution in human-robot collaboration.