Cover Image for Human Data for Embodied AI | GenRobot Research Roundtable
Cover Image for Human Data for Embodied AI | GenRobot Research Roundtable
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Human Data for Embodied AI | GenRobot Research Roundtable

Hosted by Qiuyi Yu & Victoria Xing
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About Event

​An Invite-Only Gathering of Robotics Researchers & Industry Leaders

About the Event

​As embodied AI moves toward increasingly complex real-world applications, access to large-scale, diverse, and high-quality human data is becoming a critical challenge.

​GenRobot invites a select group of researchers, faculty members, and industry experts to an intimate afternoon of technical discussions, research exchange, and hands-on exploration.

​Together, we'll explore how human data can help advance robot learning, manipulation, and generalizable embodied intelligence — from capturing real-world human skills to building scalable data infrastructure for the next generation of physical AI.

​What to Expect

​Human Data at Scale

​Explore the challenges and opportunities of collecting diverse human skill data across real-world tasks, environments, and interactions.

​Research & Industry Roundtable

​Exchange perspectives on embodied AI, robot learning, data quality, and the evolving role of human data in advancing physical intelligence.

​Hands-On Technology Experience

​Get a closer look at GenRobot's latest multimodal data acquisition technologies:

  • ​DEX 2.0 — Capturing dexterous hand motion and tactile interactions.

  • ​EGO 2.0 — Recording first-person multimodal human experiences.

​Meaningful Connections

​Connect with fellow researchers, faculty members, and industry professionals in a small-group setting designed for open conversations and potential collaboration.

Location
Computer History Museum
1401 N Shoreline Blvd, Mountain View, CA 94043, USA
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