Maniformer Opens a Crowdsourcing Platform That Pays People to Record Everyday Tasks for Robots
Maniformer's new crowdsourcing platform lets members of the public rent MEgo capture gear and get paid to record tasks like folding clothes or stocking shelves for robot training.
Maniformer launched a crowdsourcing platform enabling individuals to earn income by recording physical tasks for robot training data, aiming to address data scarcity in physical AI development.
What happened
Maniformer introduced a crowdsourcing platform where individuals record physical tasks using specialized hardware, converting real-world actions into training data for robots. The platform includes infrastructure, quality checks, and financial incentives for participants.
Why it matters
Physical AI development requires extensive human motion data, which this platform aims to scale through decentralized data collection, potentially accelerating robot learning in real-world environments.
- Decentralized data collection addresses scalability challenges in physical AI
- Hardware-software integration (MEgo devices + engine) enables precise motion capture
- Financial incentives and infrastructure support are critical for user adoption
- Data security and standardization are prioritized in the platform design
- Collaborations with research institutions enhance credibility and technical rigor
The bigger picture
The platform could increase the availability of high-quality physical AI training data, potentially improving robot adaptability in unstructured environments like factories and homes.
Maniformer's platform represents a novel approach to physical AI data collection, leveraging crowdsourcing and specialized hardware to create scalable training resources for robotics.
Technical details
- MEgo View head-worn rig with 300+ degree camera coverage
- MEgo Gripper for millimeter-accurate motion reconstruction with 3D touch sensing
- MEgo Engine for post-processing raw capture data
- Five-level user progression system (M1-M5)
- End-to-end data security initiative for collection and storage
FAQ
How does the platform compensate users?
Users receive payments after completing tasks, passing quality checks, with withdrawals processed within two minutes.
What types of tasks are recorded?
The platform includes 22 categories covering tasks like folding clothes, making tea, and shelf stocking, with over 5,000 task types.
What hardware is required?
Users rent MEgo capture devices, including a head-worn camera rig (MEgo View) and motion-tracking gripper (MEgo Gripper).
How is data quality ensured?
Tasks undergo quality checks before payment, and the platform handles tax processing and data security.
What is the platform's growth target?
The company aims for 1 million daily active users and 1 million robot trainers within two years.
This summary and analysis were generated with AI from the original article and may contain errors. Read the original for the full story.
Read the full story
Originally published by Pandaily on Oct 10, 2026.
Comments
Sign in to join the discussion.