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.

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