Robotics in a Human-Centered World: Innovations and Implications | Stanford HAI
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eventConference

Robotics in a Human-Centered World: Innovations and Implications

Status
Past
Date
Tuesday, April 01, 2025 8:30 AM - 6:30 PM PST/PDT
Location
David and Joan Traitel Building of Hoover Institution | 435 Lasuen Mall Stanford, CA 94305
Topics
Robotics
Overview
Speakers
Agenda
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2025 Spring Conference

Overview

As the field of robotics continues to evolve at an unprecedented pace, this conference is dedicated to exploring the latest advances, challenges, and societal implications of robotic technology at the intersection of artificial intelligence. 

The conference will foster a deeper understanding of how researchers, engineers, social scientists and policymakers can work together to navigate the evolving landscape of robotics. This year, HAI is also working with the Stanford Robotics Center to bring interactive robot demonstrations.

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Event Organizers
Allison Okamura
Richard W. Weiland Professor in the School of Engineering and Professor of Mechanical Engineering, Stanford University | Stanford HAI Affiliated Faculty
Dorsa Sadigh
Associate Professor of Computer Science and of Electrical Engineering, Stanford University | Senior Fellow, Stanford HAI
Karen Liu
Professor of Computer Science, Stanford University | Stanford HAI Affiliated Faculty
Overview
Speakers
Agenda
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Event Contact
Annie Benisch
abenisch@stanford.edu
Related
  • Robotics and AI
    Stanford HAI
    Jun 01
    Industry Brief
    Robotics and AI Industry Brief Cover

    Robots are becoming a core building block in engineering and healthcare applications, altering the way many industries operate, and improving quality of life for everyone. With AI, robots are further given the ability to learn and adapt so that they can work collaboratively alongside humans and other robots in real-world environments. This industry brief provides a cross-section of key research – at HAI and across Stanford – that leverages AI methods into new algorithms for human robot interaction and robot navigation. Discover how researchers are designing intelligent robots that learn and adapt to human demonstration, and how they could be used to disrupt and create markets in a wide range of industries including manufacturing, healthcare, autonomous vehicles, and many more.

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