Swarms of space vehicles rely on cooperative operations to perform scheduled tasks. This project proposes to improve the design process and operation control of a multi-agent system by using Hierarchical state machines (HSMs). The research will look into theoretical frameworks and methods to visualize HSMs dynamics representing the behavior of a multi-agent system. How an interactive user interface can help engineers and ground operators to predict how each robot and the system will behave in future situations. A prototype of software simulation will be built to demonstrate feasibility at TRL 2.
Control Architecture for Robotic Agent Command and Sensing (CARACaS)
Autonomous Pop-Up Flat-Folding Explorer Robot (A-PUFFER)
In the future of Autonomous Mobility, the offerors see that programming will shift focus beyond the independent-mover and into a swarm ecosystem framework. The innovations proposed in this STTR will play a crucial role in this ecosystem development as human-machine teaming will be integrated within each swarm component as well as on a systematic control level.