Robotics
BrainWAM: Action-Space Coordination of Semantic Priors and Predictive Dynamics for Autonomous Driving
Bridging Semantic Reasoning and Predictive Dynamics for Superior Autonomous Navigation
Autonomous driving requires planning under both semantic constraints and predictive dynamics. Existing end-to-end driving approaches, however, typically emphasize only one side of this requirement: Vision-Language-Action (VLA) models exploit VLM priors for semantic reasoning, whi...
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ArXiv CS.RO
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ArXiv CS.RO
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BrainWAM bridges the gap between semantic reasoning and predictive dynamics by decoupling these processes to prevent model collapse. This architecture marks a significant shift toward neuro-inspired modularity in autonomous driving, enhancing both safety and inference speed.
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