Rapid adaptation to a new environment requires a robot to acquire useful knowledge about local objects, states, and interactions from limited experience. Systems that combine a reasoning agent with a frozen vision-language-action model (VLA) can adapt through execution feedback and memory, making the choice of experien...
Shi-Zuo Tian, Hao-Dong Luo, Yu-Tong Li et al.· 0 citations
Vision Language Models (VLMs) extend large language models with visual perception, enabling complex vision tasks at the edge. Low-rank adaptation (LoRA) adapters offer a lightweight method to inject domain-specific knowledge into a shared base VLM, making them attractive for edge serving where concurrent mobile clients...
Wei-Jun Wang, Liang Mi, Jing-Han Chen et al.· IEEE Transactions on Mobile...· 0 citations
Query-agnostic streaming video understanding requires vision-language models to continuously compress an indefinitely growing visual stream into a bounded memory before future queries are known. The performance depends critically on the memory mechanism--what observations to preserve, how to represent and consolidate t...
Guohong Liu, Jia-Lei Ye, Shan-Hui Zhao et al.· 0 citations
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