Verifiable Learned Behaviors via Motion Primitive Composition: Applications to Scooping of Granular Media
Andrew Benton,Eugen Solowjow,Prithvi Akella,Andrew Benton,Eugen Solowjow,Prithvi Akella
A robotic behavior model that can reliably generate behaviors from natural language inputs in real time would substantially expedite the adoption of industrial robots due to enhanced system flexibility. To facilitate these efforts, we construct a framework in which learned behaviors, created by a natural language abstractor, are verifiable by construction. Leveraging recent advancements in motion ...
