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Related lectures (26)
Perceptual Robotics: Integrating Vision and Action
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Covers the integration of visual perception and robotic actions in embodied AI.
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Deep Learning: Principles and Applications
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Covers the fundamentals of deep learning, including data, architecture, and ethical considerations in model deployment.
Machine Learning for Feature Extraction
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Explores machine learning for feature extraction, 3D vision, and neural networks in mobile robotics.
Computer Vision: Fundamentals and Applications
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Covers the fundamentals of computer vision, illusions, challenges, applications, and history.
Neural Architectures for Embodied AI and Cognition
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Explores neural architectures for embodied AI, cognitive systems, and the integration of computing and robotics.
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