JEDAI: A System for Skill-Aligned Explainable Robot Planning

Naman Shah, Pulkit Verma, Trevor Angle, Siddharth Srivastava

Keywords: AI in Education, Explanations, Task and Motion Planning, Robotics, Human-Robot Interaction

TL;DR: This paper presents JEDAI, an AI system that integrates contrastive explanations, task and motion planning, and UI tools for outreach and educational efforts aimed at non-AI experts.

Abstract: This paper presents JEDAI, an AI system designed for outreach and educational efforts aimed at non-AI experts. JEDAI features a novel synthesis of research ideas from integrated task and motion planning and explainable AI. JEDAI helps users create high-level, intuitive plans while ensuring that they will be executable by the robot. It also provides users customized explanations about errors and helps improve their understanding of AI planning as well as the limits and capabilities of the underlying robot system.