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Considerations for Collaborative Robots
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
As AI moves beyond language into systems that can perceive, understand, and act in the physical world, a new frontier is emerging: world models—AI systems that build and maintain working representations of real environments to predict how they change in response to action.
As AI moves beyond language into systems that can perceive, understand, and act in the physical world, a new frontier is emerging: world models—AI systems that build and maintain working representations of real environments to predict how they change in response to action.
Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.
Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.
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.
