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, and clinical information with imaging data. Explore and implement Generative AI approaches (e.g., data augmentation, reconstruction, simulation). Investigate and apply Vision-Language models for linking
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of deformable objects Simulation and reality gap bridging for deformable object interaction (using environments such as MuJoCo, PyBullet, or NVIDIA Isaac Sim) Adaptive feedback control using learned and
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and reality gap bridging for deformable object interaction (e.g., MuJoCo, PyBullet, NVIDIA Isaac Sim) Adaptive feedback control using learned and analytical models Physics-informed machine learning
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structured problem-solving Investigating advanced strategies for model adaptation, including in-domain pre-training, domain adapters, task-specific instruction tuning, and retrieval-augmented generation (RAG