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Machine Learning. Work plan: Review of the state of the art on Evolutionary Algorithms and image tampering detection; Implementation of an evolutionary algorithm for image tampering detection
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— localization and mapping (e.g., SLAM), motion planning, and semantic perception — focusing on multimodal sensor data fusion (LiDAR, RGB-D, IMUs) for robust real-world performance. Research areas include
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