A new Robust Heterogeneous Multi-Robot Approach Based on Cloud for Task Allocation

In the field of multi-robots, various research works have addressed the problem of coordination and task division between robots. Coordination in a multi-robot system is necessary when they collaborate to perform a given task or simultaneously share the same resources. The coordination aims to ensure that each robot in the multi-robot system (MRS) performs its tasks safely. As well as a good method of distribution and assignment of tasks must be effective, reliable and well-defined. In this work, we will present a conceptual architecture, that ensures coordination between the entire team of heterogeneous robots and then a new strategy based on artificial intelligence algorithms to assign tasks for a heterogeneous MRS in the optimal way.