We’re launching Lyria 3.5 in Google Flow Music, with advances across musicality, lyrics, vocals, and creative control
deepmind.google·6d ago
AI Engineering
Hugging Face Blog·29d ago·5 min read
LeRobot v0.6.0: Imagine, Evaluate, Improve
TL;DR
Robotics researchers are exploring whether world models can enhance robot policies. LeRobot v0.6.0 introduces three new policies, including VLA-JEPA, which learns to predict future actions in latent space without incurring inference costs.
✦ Why It Matters
Engineers can leverage these new policies and benchmarks to enhance robot training and evaluation processes.
Key Takeaways
- Utilize VLA-JEPA for efficient future action prediction.
- Implement the new reward models API for better task evaluation.
- Leverage the six new simulation benchmarks for comprehensive testing.
- Take advantage of faster data loading and richer annotations.
How It Works
VLA-JEPA employs a compact world model that predicts future frames based on the robot's actions during training, allowing for effective learning without additional inference costs. This model is complemented by others like LingBot-VA and FastWAM, which further enhance the robot's ability to imagine and act in real-time.