AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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PrismAD: Decoupled Planning via Semantic Mixture-of-Planners for End-to-End Autonomous Driving
This letter presents PrismAD, a decoupled end-to-end autonomous driving framework based on a Semantic Mixture-of-Planners that exhibits competitive performance on the nuScenes open-loop dataset and NeuroNCAP closed-loop benchmark.
AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning
AnchorVLA is proposed, a hierarchical decision-anchored VLA planning framework that uses trajectory-pattern anchors as an explicit interface between high-level VLA reasoning and continuous trajectory execution and preserves LLM-based decision making while improving inference efficiency, semantic-action alignment, and c...