JEDAI: A System for Skill-Aligned Explainable Robot Planning

Autor:	Shah, Naman, Verma, Pulkit, Angle, Trevor, Srivastava, Siddharth
Rok vydání:	2021
Předmět:	Computer Science - Artificial Intelligence Computer Science - Robotics
Druh dokumentu:	Working Paper
Popis:	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. Comment: AAAMS 2022 (Demonstration Track)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2111.00585 Zobrazit plný text záznamu View this record from Arxiv