Work

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

Year: 2026

Type: article

Abstract: Autonomous navigation has gained increasing attention with the rise of self‐driving robots in applications ranging from logistics to space exploration. The robot's capabilities, context, and objectives significantly influence the design and selection of efficient navigation methods. However, traditional navigation methods, reliant on rule‐based algorithms and deterministic reasoning, struggle with adaptability and robustness in complex scenarios. Artificial Intelligence (AI) offers a solution, enhancing navigation through techniques like deep learning (DL), semantic understanding, and real‐time anomaly detection. This review explores AI's role in overcoming the limitations of classical approaches, focusing on adaptability, safety, and collaboration in navigation tasks. Analyzing diverse techniques and their integration with sensors highlights the potential of AI to enable reliable, efficient, and secure operation in real‐world environments, guiding future research in intelligent robotics.

Source: Advanced Intelligent Systems

DOI: 10.1002/aisy.202501376

Authors: Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò

Institutions: National Research Council, Institute of Intelligent Industrial Systems and Technologies for Advanced Manufacturing

Language: English

Topic: Robotic Path Planning Algorithms

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $3,970