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| en:safeav:as:general [2025/10/17 08:55] – [Middleware and Frameworks] agrisnik | en:safeav:as:general [2025/10/17 08:57] (current) – [Middleware and Frameworks] agrisnik | ||
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| + | ===== The Role of AI and Machine Learning ===== | ||
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| + | Modern autonomous systems increasingly integrate machine learning (ML) techniques for perception and decision-making. Deep neural networks enable real-time object detection, semantic segmentation, | ||
| + | * Increased computational load requiring edge GPUs or dedicated AI accelerators. | ||
| + | * The need for robust validation and explainability to ensure safety. | ||
| + | * Integration with deterministic control modules in hybrid architectures. | ||
| + | Thus, many systems adopt hybrid designs, combining traditional rule-based or dynamics-based control with data-driven inference modules, balancing interpretability and adaptability | ||
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