A leightweight framework for decision making and behavior defining for robots and other agents in chnaging enviroments. It combines the advantages of behavior trees, decision trees and state machines.
Programming:
* Modeling of the behavior in a modular DAG
* Simple Definitoin of thresholds and connections via yaml files.
* Reprogramming software within seconds
* Python for core logic using as-complex-as wished decions
* Stack based architecture to structure the execution flow