Pattern Language for Resilient Visual Agents Proposed
Research introduces an architectural pattern language aimed at visual agents that incorporate multimodal foundation models within enterprise ecosystems. This work tackles the difficulty of reconciling the high latency and unpredictability of vision language action (VLA) models with the stringent determinism and real-time efficiency demanded by enterprise control loops. The proposed pattern language distinguishes between rapid, deterministic responses and slower, probabilistic oversight, featuring four design patterns: Hybrid Affordance Integration, Adaptive Visual Anchoring, Visual Hierarchy Synthesis, and Semantic Scene Graph. This study is available on arXiv in the fields of computer science and artificial intelligence.
Key facts
- Study proposes architectural pattern language for visual agents.
- Addresses integration of multimodal foundation models into enterprise ecosystems.
- Balances VLA model latency and non-determinism with enterprise control loop requirements.
- Separates fast deterministic reflexes from slow probabilistic supervision.
- Four design patterns: Hybrid Affordance Integration, Adaptive Visual Anchoring, Visual Hierarchy Synthesis, Semantic Scene Graph.
- Published on arXiv under Computer Science > Artificial Intelligence.
Entities
Institutions
- arXiv