LongNav-R1 Inference Latency vs Single-Turn VLA in Long-Horizon Navigation

This report synthesises findings from 10 peer-reviewed papers addressing the following research question: How does the inference latency of LongNav-R1 compare to single-turn VLA baselines when scaling to environments with over 100 navigation steps in Matterport3D. Autonomous navigation is a cornerstone of modern robotic systems. This review provides a comprehensive analysis of the landscape of obstacle avoidance and path planning techniques for mobile robots. 9 claims were extracted from source literature; 9 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 8.8/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research goal: How does the inference latency of LongNav-R1 compare to single-turn VLA baselines when scaling to environments with over 100 navigation steps in Matterport3D?

Autonomous literature synthesis. Automated review score: 8.8/10. Full text and citation available at Assignee Research.