What does this research mean for the field?

Artificial Intelligence enhances the adaptability, safety, and collaboration of autonomous mobile robot navigation, overcoming the limitations of classical methods. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The aim is to investigate how AI can improve autonomous navigation methods and their adaptability.

February 21, 2026Advanced Intelligent SystemsOpen Access

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

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The aim is to investigate how AI can improve autonomous navigation methods and their adaptability.
Reviewed traditional navigation methods and their limitations.
Explored AI techniques like deep learning and semantic understanding.
Analyzed integration of AI with sensors for navigation.
AI techniques enhance adaptability and robustness in complex navigation scenarios.
Classical methods struggle with complexity while AI provides solutions.
Highlights the potential for safer and more efficient operation in real-world environments.

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Implication

This review explores AI's role in improving navigation tasks in robots, suggesting enhanced adaptability and safety.

Cite This Study

Guaragnella et al. (2026) studied this question.

synapsesocial.com/papers/69994c38873532290d0208ed https://doi.org/10.1002/aisy.202501376

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Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Key Points

Discussion

Implication

Cite This Study

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Key Points

Discussion

Implication

Cite This Study