What question did this study set out to answer?

The aim is to survey deep learning-based methods for vehicle and robot routing optimization.

June 13, 2026Journal of Artificial Intelligence for AutomationOpen Access

Learning-Based Optimization for Vehicle/Robot Routing Problems: A Survey

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Survey explores learning-based neural approaches for optimizing vehicle and robot routing, suggesting future research directions.

The aim is to survey deep learning-based methods for vehicle and robot routing optimization.
Systematic survey of learning-based approaches
Unification of classical routing models with reinforcement learning
Classification of methods into end-to-end neural solvers and scalability-oriented solvers.
Structured taxonomy of learning-based route optimization methods identified
Future directions include integrating heuristic knowledge and multi-objective optimization
Emphasized potential of extending techniques to broader combinatorial optimization.

Jun Li (2026) studied this question.

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