@inproceedings{72529703fa634bf8a619d7a6ac621cad,
title = "JEDAI: A System for Skill-Aligned Explainable Robot Planning",
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.",
keywords = "AI in Education, Explanations, Robotics, Task and Motion Planning",
author = "Naman Shah and Pulkit Verma and Trevor Angle and Siddharth Srivastava",
note = "Funding Information: We thank Kiran Prasad and Kyle Atkinson for help with the implementation, Sarath Sreedharan for help with setting up HELM, and Sydney Wallace for feedback on user interface design. We also thank Chirav Dave, Rushang Karia, Judith Rosenke, and Amruta Tapadiya for their work on an earlier version of the system. This work was supported in part by the NSF grants IIS 1909370, IIS 1942856, IIS 1844325, OIA 1936997, and the ONR grant N00014-21-1-2045. Publisher Copyright: {\textcopyright} 2022 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.; 21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022 ; Conference date: 09-05-2022 Through 13-05-2022",
year = "2022",
language = "English (US)",
series = "Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS",
publisher = "International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)",
pages = "1917--1919",
booktitle = "International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022",
}