Abstract
Unmanned aerial vehicles (UAVs) have reached significant
maturity over several years for safe civilian operations like
mapping, search and rescue. The operation performance can
be significantly improved by deploying multiple cooperating
UAVs and optimal decision making. In this work, we present
the use of nonlinear model predictive control (NMPC) for
two different applications involving cooperative UAVs.
Keywords
- Robotics: Multi-Robot Systems
- Robotics: Localization, Mapping, State Estimation
- Robotics: Motion and Path Planning
- Agent-based and Multi-agent Systems: Coordination and Cooperation
