SOURCE-LINKED INTELLIGENCE
A Comprehensive Review of Generative Physical Artificial Intelligence
The integration of large-scale foundation models with physical embodiments has led to significant advancements in robotics known as Generative Physical Artificial Intelligence (GPAI). These agentic AI systems autonomously perceive, reason, and act in complex real-world situations. This survey comprehensively analyzes GPAI systems, focusing on their architectural foundations, current applications, and key limitations. We introduce a taxonomy of five distinct approaches: Robot Foundation Models (RFMs) for cross-platform skill transfer; Vision-Language Action (VLA) models for end-to-end multi-mod
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-16T04:29:50.000Z
First collected: 2026-09-20T08:20:57.646Z. This is not the publication date.