Embodied AI Club
Solving robotics' data problem through collaborative VLA model development
In collaboration with
backed companyOur Mission
The Embodied AI Club, in collaboration with Cortex AI, a Y Combinator-backed company, gives students hands-on experience at the intersection of AI and robotics.
We focus on remote robot control (teleoperation), data cleaning and training Vision-Language-Action (VLA) models, and 3D simulations—all aimed at building better datasets and making advanced technology more inclusive and accessible.
What We Do
Remote Robot Control
Learn teleoperation techniques to control robotic arms remotely, generating valuable training data for VLA models
VLA Model Training
Train Vision-Language-Action models using quality datasets to enable autonomous robotic behavior and decision-making
Data Cleaning & Research
Research and implement effective methods to clean datasets and improve training efficiency for better robotic performance
3D Simulations
Develop and work with 3D simulation environments to test robotic behaviors before real-world deployment
Solving Robot Accessibility
The biggest challenge in making robots accessible is their lack of smooth, reliable operation in real-world environments. This stems from insufficient high-quality datasets needed to train robots effectively. Our collaboration with Cortex AI addresses this core problem through innovative VLA model training that makes robots more capable with less data.
Quality Over Quantity
Reduce dataset size requirements while improving robot performance
Industry Experience
Observe humanoid training and operations at a robotics company
Future-Ready Skills
Prepare for careers in the rapidly growing robotics industry
Get Involved
Ready to advance robotic accessibility through VLA research? Join our community working on the future of embodied AI.