The Network
A network of subnets
BitRobot turns robotics R&D into an open, coordinated network
Through subnets, contributors launch missions, verify results, and share rewards — creating a real economy for embodied AI
building blocks
The full robotics stack — powered by the collective to build, test, and scale embodied AI
01
Coordinate
Set missions for data collection, training, or real-world testing.
Subnets
Organize people, robots, and compute into focused missions.
Subnet Owners
Define goals, rules, and incentives to align contributors.
02
Execute
Bring missions to life with real contributions.
Embodied Node Tokens (ENTs)
Give each robot an onchain identity to track work and payments.
Subnet Contributors
Collect data, develop models, or provide compute, producing verifiable results that fuel breakthroughs.
03
Verify
Measure impact and prove results before rewards flow.
Verifiable Robotic Work (VRW)
Defines the metrics for valuable output.
Subnet Validators
Check contributions against VRW to ensure quality and fairness.
The embodied AI loop
Want to become a contributor?
Each subnet may have multiple types of contributors - ranging from researchers, to teleoperators, to robot owners, and many more. Click on a contributor type to learn how they support the network.
Researchers
Teleoperators
economics
The BitRobot Economy
The Measurement–Evaluation–Rewards (MER) loop powers the network — funding missions, supporting contributors, and recycling value to advance embodied AI
01
IP Consumption
Rewards fund both resource use and the creation of valuable outputs like datasets or AI models. Licensing these outputs generates fees that help sustain the BitRobot ecosystem.
Economic loop 1
02
Resources Utilization
BitRobot uses rewards to assemble markets of valuable resources—like robots, compute, and teleoperators—that others can rent. Third-party usage incurs fees, helping balance emissions with real network demand.
Economic loop 2
Read the
full whitepaper
The BitRobot Network whitepaper proposes a subnet-based architecture designed for distributed robotic work and collaboration.
