Abstract: The future unmanned battlespace will contain heterogeneous swarms of autonomous air and ground platforms. A significant hurdle in enabling a heterogeneous swarm is the ability to move the algorithms developed in simulation environments onto real-world unmanned vehicles (UxV's). The Applied Physics Lab has developed the Robotic Algorithm and Communications Environment (RACE), a platform independent behavior-based algorithm framework that supports air and ground vehicle hardware interfaces to enable swarms of unmanned vehicles to operate cooperatively. This briefing describes the command and control (C2) aspects of the RACE architecture and the results from recent hardware in the loop demonstrations. APL experiments have shown how swarms of autonomous vehicles can support complex C2 environments by cooperatively de-conflicting multiple user goals.
| Limitations: |
 APPROVED FOR PUBLIC RELEASE |
| Description: |
Briefing charts |
| Pages: |
18 |
| Report Date: |
JUN 2005 |
| Report Number: |
A767364 |
|
|
|
|
Keywords relating to this report:
