Survey on safe robot control via learning

• URL: http://arxiv.org/abs/2501.01432v1
• Date: Mon, 16 Dec 2024 21:04:09 GMT
• Title: Survey on safe robot control via learning
• Authors: Bassel El Mabsout,
• Abstract summary: 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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• 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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