AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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School of Artificial Intelligence and Robotics, Hunan University
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Synergistic Optimization Alignment Alignment (SOA) is proposed, a sampling-free framework that tackles two challenges inherent in UniDAOD: multi-scale discriminator discrepancy and task-dominant gradient conflict.
SeqLoc is proposed, an online test-time sequence aggregation mechanism that recursively maintains a log-belief volume with three key components that outperforms single-frame localization by a large margin, improving both position and orientation recall by over 50%.
Recent 4D LiDAR language models aim to reason about objects and their evolving spatial relationships. Yet, in our evaluation, always selecting the same option nearly matches the multiple-choice accuracy of two B4DL-derived configurations. We introduce LiDAR-Hallu, a geometry-referenced benchmark and diagnostic protocol...
Quadruped mobile manipulation requires two tightly coupled capabilities: reaching manipulation-ready configurations and maintaining stable contact throughout articulated-object interaction. However, existing methods often terminate navigation near the target, leaving a gap between reachability and manipulation readines...
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