Explainability and Knowledge Representation in Robotics: The Green Button Challenge

Abstract

As robots get closer to human environments, a fundamental task for the community is to design system behaviors that foster trust. In this context, we have posed the "Green Button Challenge": every robot should have a green button that, when pressed, makes the robot explain what it is doing and why, in natural language. In this paper, we motivate why explainability is important in robotics, an why explicit knowledge representations are essential to achieving it. We highlight this with a concrete proof-of-concept implementation on our humanoid space assistant Rollin' Justin, which interprets its PDDL plans to explain what it is doing and why.