Automated Behavior Tree Error Recovery Framework for Robotic Systems
Ruichao Wu,Sitar Kortik,Christoph Hellmann Santos,Ruichao Wu,Sitar Kortik,Christoph Hellmann Santos
Reacting to unexpected conditions and recovering from errors is crucial for robots to perform their missions continuously in dynamic environments. This paper introduces a novel framework aiming to handle errors impairing the quality of robot services concerning on-line management of error recovery. The framework is a combination of an execution generation tool, a learning module, and a recovery pi...
