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Pete Florence is a Research Scientist working in the areas of machine learning, computer vision, 3D learning, self-supervised learning, and policy le…
Inner Monologue: Embodied Reasoning through Planning with Language Models
My research background covers a wide range of topics: robotics, imitation learning, reinforcement learning, computer vision and graphics, computation…
Seemingly simple natural language requests to a robot are generally underspecified, for example “Can you bring me the wireless mouse?” When viewing m…
Combining natural language with play provides a breadth of skills while having no tasks determined in advance.
I would one day like to have a robot that lives in my house and does all my chores for me.
My research goal is to design algorithms that can enable agents to continuously interact, learn, and perform complex tasks in their environments.
[paper] Mapping State Space using Landmarks for Universal Goal Reaching Zhiao Huang*, Fangchen* Liu, Hao Su Neural Information Processing System…
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