Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
HAI Weekly Seminar with Monroe Kennedy III | Stanford HAI
Navigate
  • About
  • Events
  • AI Glossary
  • Careers
  • Search
Participate
  • Get Involved
  • Support HAI
  • Contact Us

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

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
Your browser does not support the video tag.
eventSeminar

HAI Weekly Seminar with Monroe Kennedy III

Status
Past
Date
Wednesday, February 17, 2021 10:00 AM - 11:00 AM PST/PDT
Topics
Robotics

Considerations for Collaborative Robots

Share
Link copied to clipboard!
Event Contact
Celia Clark
celia.clark@stanford.edu

Related Events

For the Stanford Community: 2026 HAI Orientation
MixerSep 30, 20261:00 PM - 2:30 PM
September
30
2026

Open to Stanford community members! We are hosting an interactive orientation featuring faculty insights, networking, and opportunities to explore AI and data science research, programs, and resources across Stanford.

Mixer
Your browser does not support the video tag.

For the Stanford Community: 2026 HAI Orientation

Sep 30, 20261:00 PM - 2:30 PM

Open to Stanford community members! We are hosting an interactive orientation featuring faculty insights, networking, and opportunities to explore AI and data science research, programs, and resources across Stanford.

Daniel Zhang, Caroline Meinhardt, Jiajun Wu, and Russell Wald | The World Model and Spatial Intelligence Era: Governing AI Beyond Language
SeminarSep 30, 20263:00 PM - 4:15 PM
September
30
2026

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.

Seminar

Daniel Zhang, Caroline Meinhardt, Jiajun Wu, and Russell Wald | The World Model and Spatial Intelligence Era: Governing AI Beyond Language

Sep 30, 20263:00 PM - 4:15 PM

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.

Marlowe | AI + Data for Science with Gordon Wetzstein
SeminarSep 30, 2026
September
30
2026

Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.

Event

Marlowe | AI + Data for Science with Gordon Wetzstein

Sep 30, 2026

Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.

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.  

Speaker
Monroe Kennedy
Assistant Professor of Mechanical Engineering, Stanford University | Stanford HAI Affiliated Faculty

Watch Event Recording