Swinging. Turning. Jumping.
@GenrobotAI DFM turns six-camera Ego video into continuous whole-body mesh and skeleton data, preserving body structure and temporal consistency even during fast motion and complex poses.
See the Whole Body. Learn the Whole Skill.
#GenRobot# #WholeBodyData# #egodata#
#PhysicalAI# #Robotics#
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Bending. Squatting. Moving.
DFM reconstructs continuous whole-body meshes from Ego video, even with partial occlusion.
~3 cm mean whole-body error.
See the Whole Body. Learn the Whole Skill.
#GenRobot##WholeBodyData##ego# data
#PhysicalAI# #Robotics#
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IROS 2026｜Meet @GenrobotAI in Pittsburgh – Human Data for Embodied Intelligence
We are excited to announce our participation in IROS 2026! We warmly invite researchers, industry leaders, and innovation partners from around the world to join us in Pittsburgh. Together, we'll delve into the frontier of embodied AI, explore breakthroughs in perception-action integration, and discuss pathways to real-world impact across industries.
📅 Date: September 28–30, 2026
📍 Venue: David L. Lawrence Convention Center, Pittsburgh, USA
📌 Booth: 637
We look forward to connecting with you in Pittsburgh — and exploring the future of embodied intelligence through Human Data together!
#Genrobot# #humandata# #egodata#
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Reliable Whole-Body Data is more than a human-looking mesh.
It requires accurate ground truth, temporally consistent motion, and a production pipeline built to scale.
Reliable Whole-Body Data is more than a human-looking mesh.
It requires accurate ground truth, temporally consistent motion, and a production pipeline built to scale.
Read more about our blog post👉：
How do you scale whole-body data?
😜Start with Ego！
Vision-only，whole body mesh！
≈3 cm whole-body error
100K hours/month.
From real-world human behavior to policy-ready Whole-Body Manipulation Data—at scale.
See the Whole Body.
Learn the Whole Skill.
#PhysicalAI# #Robotics#
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How do you scale whole-body data?
😜Start with Ego！
Vision-only，whole body mesh！
≈3 cm whole-body error
100K hours/month.
From real-world human behavior to policy-ready Whole-Body Manipulation Data—at scale.
See the Whole Body.
Learn the Whole Skill.
#PhysicalAI# #Robotics#
Show more
How do you scale whole-body data?
😜Start with Ego！
Vision-only，whole body mesh！
≈3 cm whole-body error
100K hours/month.
From real-world human behavior to policy-ready Whole-Body Manipulation Data—at scale.
See the Whole Body.
Learn the Whole Skill.
#PhysicalAI# #Robotics#
Show more
Head. Hands. Whole body. And a whole lot of Human Data. 🙌
At WAIC 2026, @GenRobotAI showcased how real-world human experience can be captured and transformed into high-quality, scalable data for Physical AI.
Let’s rewind the highlights! 🎬#WAIC2026# #GenrobotAI# #HumanData#
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Excited to see LingBot-VLA 2.0 open-sourced by @Robbyant. We're proud to have contributed the human data behind it — egocentric video paired with <1 cm hand tracking captured in the wild at scale and processed through our Data Foundation Model. #EmbodiedAI# #Robotics#
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Our Data Foundation Model (DFM) transforms raw human interactions into high-precision, multimodal, Model-Ready Data.
Through ground-truth evaluation and continuous feedback, DFM builds a scalable Human Data flywheel for Physical AI.
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Built on our Data Foundation Model (DFM), delivering higher-quality, more scalable, and more efficient Ego+Fingers data production.Industry-first DFM enables end-to-end data processing#EmbodiedAI# #HumanData# #6DPose# #PhysicalAI# #RobotLearning# #EgoData#
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🚀 has completed multi-round financing totaling hundreds of millions RMB.
Led by Ant Group, DiDi and Delian Capital, with participation from Shunwei, BV and Zelostech.
Embodied AI needs more than models.
It needs scalable Human Data infrastructure.
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Industry First <1cm Hand Tracking
1️⃣Hand Tracking > Pure Ego Video
More interpretable
More action-relevant
2️⃣Better Tracking → Better Policies
Faster learning
Better generalization
3️⃣Powered by GenRobot
Ego hardware
Data Foundation Model
Ground-truth validation
More soon
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Phase 3 Open Source UMI Data 🚀
✅ 13K+ hrs dual-hand data, ready to use
✅ <1ms frame-level synchronization
✅ High-fidelity trajectory reconstruction
✅ 3K+ contributors, 10K+ real homes
✅ Diverse daily manipulation skills
Download:
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