Explainable Autonomous Robots: A Survey and Perspective

2021/05/06 by Tatsuya Sakai, Sakai, Tatsuya, Takayuki Nagai +1 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Topic Modeling

paper · pdf · doi:10.48550/arxiv.2105.02658

openalex publication_date 2021/05/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Advanced communication protocols are critical to enable the coexistence of autonomous robots with humans. Thus, the development of explanatory capabilities is an urgent first step toward autonomous robots. This survey provides an overview of the various types of "explainability" discussed in machine learning research. Then, we discuss the definition of "explainability" in the context of autonomous robots (i.e., explainable autonomous robots) by exploring the question "what is an explanation?" We further conduct a research survey based on this definition and present some relevant topics for future research.

Citations

• Recurrent World Models Facilitate Policy Evolution
• Review of Causal Discovery Methods Based on Graphical Models
• The Emerging Landscape of Explainable AI Planning and Decision Making

Cited by

• From Facts to Foils: Designing and Evaluating Counterfactual Explanations for Smart Environments
• Effective Explanations for Belief-Desire-Intention Robots: When and What to Explain

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