In the approaching webinar, Murtaza, a final year PhD Candidate At Carnegie Mellon University, will focus on building generalist robot systems by integrating modularity with large-scale learning. He will explain how combining modular planning, learned control, and scene generation enables robots to perform complex, multi-stage tasks from text instructions. This approach tackles key challenges in robotics, such as multimodality, limited data, and safety concerns, pushing the limits of robot capabilities for diverse, real-world applications.
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