Multi-Objective Policy Generation for Multi-Robot Systems Using Riemannian Motion Policies

Understand

In many applications, multi-robot systems are required to achieve multiple objectives.

• For these multi-objective tasks, it is oftentimes hard to design a single control policy that fulfills all the objectives simultaneously.
• In this paper, we focus on multi-objective tasks that can be decomposed into a set of simple subtasks.
• Controllers for these subtasks are individually designed and then combined into a control policy for the entire team.