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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Renjun Wu

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Preprint Oct 2026

ActiveWAM: Evidence-Aware Active Vision for World-Action Models

Active vision manipulation requires a policy to control both its camera and its end-effectors, yet camera motion determines which evidence remains visible within finite observation windows. Acquiring a new view can displace task-critical cues, while retaining a view forgoes potentially useful observations. We formulate...

Ren-Jun Wu, Lu-Zhou Ge, Xue-Song Li · 0 citations
Preprint Aug 2026

ViTaR: Visuo-Tactile Residual Adaptation for Foundation VLA Manipulation

ViTaR is introduced, which reframes tactile feedback from an action-generating perceptual input to an execution modulator that selects and scales bounded residual corrections atop a frozen VLA, preserving pretrained capabilities by construction.

Yi Wang, Ren-Jun Wu, Jin-Yan Liu et al. · 0 citations
Preprint Aug 2026

SparkVLA: Stop-Aware Hierarchical VLA with Adaptive Action Chunking for Long-Horizon Manipulation

SparkVLA is presented, a stop-aware hierarchical VLA that resolves this mutual dependency by formulating both decisions as a single ranking: Stop competes against every action-prefix length in a unified candidate set, and the system selects the highest-scoring option, eliminating threshold tuning and requiring only off...

Xun-Yao Lei, Ren-Jun Wu, Tianlin Huo et al. · 1 citation

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