IndusAgent: Agentic Reinforcement Learning for Cross-Category Industrial Anomaly Detection
IndusAgent is an agentic reinforcement learning system that detects subtle defects in unfamiliar industrial products by using a large language model and active tool use. It combines structured training, autonomous tool orchestration for cropping, enhancement, and measurement, and an accuracy-gated reward mechanism to achieve high accuracy across diverse product categories.