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(iii) complex architectures with tightly coupled components hinder modular adaptation. To address these limitations, we research a physics-guided machine learning framework that integrates physical
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Inria, the French national research institute for the digital sciences | Bordeaux, Aquitaine | France | about 2 months ago
be designed by the modeller. Self-supervised learning is fundamental for developmental processes such as babbling. Schwartz et al. [11] propose that perception and action are co-structured in
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capable of understanding, learning, and acting in complex, dynamic settings. The lab’s work lies at the intersection of computer vision, multimodal learning, and robotics, advancing next-generation embodied
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systems capable of understanding, learning, and acting in complex, dynamic settings. The team works at the intersection of computer vision, multimodal learning, and robotics to create next-generation
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adaptation, synthetic data generation, and cross-modal learning to enable models that generalize across defect types and machine configurations. This ensures scalable, accurate defect detection even in low
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instructors provide assistance to students in their learning process by utilizing all appropriate college resources, materials, facilities, and educational technologies available to complement the teaching and
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Science. Commitment to undergraduate and graduate education. Demonstrated expertise in machine learning/deep learning and software development (Python; PyTorch/TensorFlow). Peer-reviewed publications and strong
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-the-loop control for extreme robotics applications, including high performance algorithms for 3D perception, model predictive control, reinforcement learning, generative AI, and simulation and virtual
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instructors provide assistance to students in their learning process by utilizing all appropriate college resources, materials, facilities, and educational technologies available to complement the teaching and
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, Electrical Engineering, Aerospace Engineering or a related field, with a focus on Robotic Perception and learning based methods Demonstrated expertise in at least one of the following areas: Machine Learning