HAI Weekly Seminar with Monroe Kennedy III
Considerations for Collaborative Robots
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Considerations for Collaborative Robots
A eureka moment is a two-step process: discovering something new and surprising, and establishing that it is correct. Drawing on her work at Axiom, Carina will discuss the transition from solving mathematical benchmarks to contributing to research, and from proving individual theorems to formalizing mathematical theories in Lean.

A eureka moment is a two-step process: discovering something new and surprising, and establishing that it is correct. Drawing on her work at Axiom, Carina will discuss the transition from solving mathematical benchmarks to contributing to research, and from proving individual theorems to formalizing mathematical theories in Lean.
A Center for Neural Data Science Seminar Series

A Center for Neural Data Science Seminar Series
Over the past few decades, robots have become more capable of physically performing complex tasks. Robotics has evolved from simply the accuracy and repeatability of automation in manufacturing, to the ability to operate in unstructured environments with autonomy, to the capability to coordinate with other robots with swarm technology, and now to work alongside human teammates as collaborators and assistants. This latest horizon of effective collaboration requires all the tools developed in robotics, in particular, machine learning (AI) in order to model and anticipate a human teammate. In this talk, we will discuss what makes an effective robotic assistant, and considerations for modeling, anticipating, and collaborating with a human teammate.
