the network
Network spec
results published regularly
Active missions: 8
updated frequently
How Subnets Coordinate Robotics Resources and Contributors
01
Coordinate
Robotic missions for data collection, training, or real-world testing.
people, robots, and compute organized.
02
Execute
Missions brought to life with real contributions.
data collected, identities created.
03
Verify
Impacts & data measured, results proven and verified.
contributions validated.
engage
Join or launch a subnet
Participation is open to contributors at all levels, from hobbyists to active researchers.
Open opportunities
ET Fugi
SN/01
Drive and Earn
Buy a sidewalk robot. Catch aliens and complete missions to accumulate Qualified Miles.
telearms
SN/07
Control Robotic Arms on TeleArms
Sign up for Waitlist to access our teleoperation-in-simulation platform.
lab access
published march 10, 2025
updated as necessary
full network spec
Read the whitepaper
View network architecture, protocol structure, governance, the BitRobot rewards program, and more.
Builders and researchers
selected partners
builders & researchers
Research Citations
UC Berkeley
Learning to Drive Anywhere via Model-Based Reannotation (MBRA)
Ajay Sridhar, Dhruv Shah, Catherine Glossop, Sergey Levine
MIT CSAIL
Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers (HPT)
Lirui Wang, Xinlei Chen, Jialiang Zhao, Kaiming He
Tampere University, Finland
Data Scaling for Navigation in Unknown Environments
Lauri Suomela, Naoki Takahata, Sasanka Kuruppu Arachchige, Harry Edelman, Joni-Kristian Kämäräinen
UC Berkeley
OmniVLA: An Omni-Modal Vision-Language-Action Model for Robot Navigation
Noriaki Hirose, Catherine Glossop, Dhruv Shah, Sergey Levine
UCLA
From Seeing to Experiencing: Scaling Navigation Foundation Models with Reinforcement Learning
Honglin He, Yukai Ma, Wayne Wu, Bolei Zhou
Peking University
SPAN-Nav: Generalized Spatial Awareness for Versatile Vision-Language Navigation
Jiahang Liu, Tianyu Xu, Jiawei Chen, He Wang
University of Amsterdam
Automatic Control, Calibration and Recording for the FrodoBots
Qi Zhang, Arnoud Visser
