Scaling Robot Learning Across Embodiments: A New Approach
Published:Dec 15, 2025 08:57
•1 min read
•ArXiv
Analysis
This ArXiv paper explores scaling cross-embodiment policy learning, suggesting a novel approach called OXE-AugE. The research has potential to improve robot adaptability and generalizability across diverse physical forms.
Key Takeaways
Reference
“The research focuses on scaling cross-embodiment policy learning.”