# JEDAI: A System for Skill-Aligned Explainable Robot Planning

arXiv: https://arxiv.org/abs/2111.00585 · HTML: https://mlsanity.com/paper/2111.00585/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 8 of its 38 references that are in the map.
- First posted on arXiv 31 Oct 2021.

## Builds on (most cited first, 8 of 8)

- [Explanation in Artificial Intelligence: Insights from the Social Sciences](https://mlsanity.com/paper/1706.07269/) (2017)
- [Cooperative Inverse Reinforcement Learning](https://mlsanity.com/paper/1606.03137/) (2016)
- [The Off-Switch Game](https://mlsanity.com/paper/1611.08219/) (2016)
- [Research Priorities for Robust and Beneficial Artificial Intelligence](https://mlsanity.com/paper/1602.03506/) (2016)
- [Anytime Integrated Task and Motion Policies for Stochastic Environments](https://mlsanity.com/paper/1904.13006/) (2019)
- [Discovering User-Interpretable Capabilities of Black-Box Planning Agents](https://mlsanity.com/paper/2107.13668/) (2021)
- [Planimation](https://mlsanity.com/paper/2008.04600/) (2020)
- [RADAR-X: An Interactive Mixed Initiative Planning Interface Pairing Contrastive Explanations and Revised Plan Suggestions](https://mlsanity.com/paper/2011.09644/) (2020)

## Abstract (arXiv)

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.