Fall 2021 GRASP SFI: Lucas Manuelli, NVIDIA, “Robot Manipulation with Learned Representations”
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We would like to have robots which can perform useful manipulation tasks in real-world environments. This requires robots that can perceive the world with both precision and semantic understanding, methods for communicating desired tasks to these systems, and closed loop visual feedback controllers for robustly executing manipulation tasks. This is hard to achieve with previous […]

