Dimensions overall score 7.0

• Agentic Fast-Slow Planning reduces lateral deviation by up to 45% compared to pure MPC and an A*-guided MPC baseline.result 90%
• Agentic Fast-Slow Planning reduces completion time by over 12% compared to pure MPC and an A*-guided MPC baseline.result 90%
• The Perception2Decision bridge compresses scenes into ego-centric topologies using an on-vehicle VLM detector to reduce bandwidth and delay while preserving interpretability.method 85%
• Semantic-Guided A* embeds language-derived soft costs into classical search to bias solutions toward feasible trajectories.technical 85%
• Existing approaches that let LLMs generate trajectories directly are brittle, hard to verify, and latency-prone.limitation 80%
• Existing approaches that adjust MPC objectives online mix slow deliberation with fast control and blur interfaces.limitation 80%
• The Agentic Refinement Module adapts planner hyperparameters using feedback and memory.technical 85%
• The framework decouples perception, reasoning, planning, and control across natural timescales.method 85%

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