AuMAV is an entry-point into a set of techniques and packages used and/or implemented by the drone lab at CAS/RPL.

In its most basic form it is a ROS launch file with which a drone can be made to run autonomously in different configurations.

Planned features:

• Support for multiple localization and mapping solutions
  • HectorSLAM for LiDAR-based SLAM
  • ORB-SLAM2 for visual SLAM
• Collision avoidance pass-through controller
• Extensible Python state machine for high-level planning
  • Recovery from tracking errors
  • Autonomous exploration capabilites

Please refer to COROUTINES.md for an explanation of how planning is handled.