Survey on safe robot control via learning

Bassel El Mabsout

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arXiv · 2501.01432

Survey on safe robot control via learning

Bassel El Mabsout

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Abstract

Control systems are critical to modern technological infrastructure, spanning industries from aerospace to healthcare. This survey explores the landscape of safe robot learning, investigating methods that balance high-performance control with rigorous safety constraints. By examining classical control techniques, learning-based approaches, and embedded system design, the research seeks to understand how robotic systems can be developed to prevent hazardous states while maintaining optimal performance across complex operational environments.

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Bassel El Mabsout. 2024-12-16. Survey on safe robot control via learning. https://arxiv.org/abs/2501.01432

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