Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
How Do You Build a Better Robot? By Understanding People. | Stanford HAI
Navigate
  • About
  • Events
  • AI Glossary
  • Careers
  • Search
Participate
  • Get Involved
  • Support HAI
  • Contact Us
Skip to content
  • About

    • About
    • People
    • Get Involved with HAI
    • Support HAI
    • Subscribe to Email
  • Research

    • Research
    • Research Programs
    • Grants
    • Marlowe (opens in new tab)
    • Student Affinity Groups
    • Centers & Labs
    • Research Publications
    • Research Partners
  • Education

    • Education
    • Executive and Professional Education
    • Government and Policymakers
    • K-12
    • Stanford Students
  • Policy

    • Policy
    • Policy Publications
    • Policymaker Education
    • Student Opportunities
  • AI Index

    • AI Index
    • AI Index Report
    • Global Vibrancy Tool
    • People
  • News
  • Events
  • Industry
  • Centers & Labs

Stay Up To Date

Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.

Sign Up For Latest News

news

How Do You Build a Better Robot? By Understanding People.

Date
February 11, 2022

Computer scientist Dorsa Sadigh discusses the growing field of human-robot interaction.

Whether it’s autonomous vehicles or assistive technology in healthcare that can do things like help the elderly do core tasks like feeding themselves, some of the most challenging problems in the field of robotics involve how robots interact with humans, with all of our many complexities.

Drawing from fields as varied as cognitive neuroscience, psychology, and behavioral economics, Stanford computer scientist Dorsa Sadigh is exploring how to train robots to better understand humans – and how to give humans the skills to more seamlessly work with robots.

She discusses these challenges with Stanford Engineering’s The Future of Everything host Professor Russ Altman, a Stanford HAI associate director, in this latest episode.

 

Stanford HAI's mission is to advance AI research, education, policy and practice to improve the human condition. Learn more. 

Share
Link copied to clipboard!
Contributor(s)
Stanford Engineering Staff

Related News

Tracking AI’s Real-Time Footprint On The Labor Market
Adam Hadhazy
Oct 21, 2026
News

Dashboards created by Stanford HAI’s Digital Economy Lab measure how AI adoption is altering employment trends and job growth, along with broader economic indicators.

News

Tracking AI’s Real-Time Footprint On The Labor Market

Adam Hadhazy
Economy, MarketsOct 21

Dashboards created by Stanford HAI’s Digital Economy Lab measure how AI adoption is altering employment trends and job growth, along with broader economic indicators.

Measuring What Medical AI Can Actually Do
Nigam Shah, Jonathan Chen
Oct 19, 2026
News

Over three years, we’ve built progressively harder, more realistic benchmarks for medical AI. Here’s what we learned.

News

Measuring What Medical AI Can Actually Do

Nigam Shah, Jonathan Chen
Foundation ModelsHealthcareOct 19

Over three years, we’ve built progressively harder, more realistic benchmarks for medical AI. Here’s what we learned.

Who is Responsible When AI Causes Harm?
Shana Lynch
Oct 14, 2026
News

It's one of AI policy's hardest unsolved problems. Expert Deb Raji joins Stanford HAI to find answers that move beyond principles and into practice.

News

Who is Responsible When AI Causes Harm?

Shana Lynch
Regulation, Policy, GovernanceOct 14

It's one of AI policy's hardest unsolved problems. Expert Deb Raji joins Stanford HAI to find answers that move beyond principles and into practice.