OmniBrain-0: A Unified Agentic Model for Embodied Intelligence
- Published
- Source
- arXiv
- Paper number
- 1381
- Field
- Robotics
- arXiv ID
- 2610.36013
Key points
- OmniBrain-0 is a lightweight unified agent that ties manipulation and navigation to a shared high-level decision model handling task understanding, planning, progress tracking, and feedback-driven recovery.
- On LIBERO-Pro it achieves 65.5% overall success with average completion time cut from 13.8 minutes to 1.6 minutes, an 8.6x speedup, and RSI raises success to 69.3%.
- On RoboCasa365 it reaches 39.6% overall success, exceeding RLDX-1 at 36.0% and more than tripling the few-shot backbone's 12.2%.
- On R2R-CE navigation it improves SR from 34.0% to 65.0% and reduces NE from 6.57 m to 3.78 m.
- Relative to GPT-5.6-Sol, token usage is 4.5x, 2.6x, 3.5x, 12.7x, and 3.7x lower on the five benchmarks respectively.
- On three real-world manipulation tasks it achieves a macro-average success rate of 73.3%, outperforming π0.5 at 58.3%.
Paper links
External research summaries. These are not HDATF publications or measured product results.