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for autism, recruiting and testing participants, as well as data processing and analysis. The main goals of SHAPE are to map out the relationship between the visual perception of shape and its encoding
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candidate to develop Machine Learning models and frameworks for time series analysis, aimed at understanding how the human brain encodes information. This cross-disciplinary project is a high-level
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the ability to grasp small and fragile objects without explicit prior knowledge of their models. Designing metrics to assess performance in assembly tasks, where robots connect diverse pieces together
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on genotype-to-phenotype mappings considering motion and fabrication constraints. Integrate autonomy stacks (perception, learning, planning) in the co-design process and run experiments across classes
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and fabrication constraints Integrate autonomy stacks (perception, learning, planning) in the co-design process and run experiments across classes of environments (e.g., forests, industrial facilities