100 articles
China installed 290,000 industrial robots in 2023, claiming 52% of global installations. What this means for North American manufacturers competing on automation.
Cognex ViDi EL brings edge-learning deep learning inspection to the factory floor with 90% less setup time than traditional vision systems. What it means for manufacturing quality.
The collaborative robot market has crossed $1 billion in annual revenue. Here's what's driving cobot adoption, which applications are growing fastest, and what it means for manufacturers.
ABB and Microsoft expand their Azure-based robot fleet management platform with predictive maintenance, remote monitoring, and cloud analytics for industrial robots.
GPT-5 and large language models show real potential for manufacturing process analysis, maintenance troubleshooting, and natural-language interfaces to industrial data systems.
How AI-driven vision and sensor systems are cutting manufacturing scrap rates by 30% or more through real-time defect detection, predictive analytics, and closed-loop process control.
How manufacturers use AI-driven supply chain tools to predict disruptions, manage inventory buffers, and keep automated production lines running through shortages.
Amazon's deployment of 750,000 robots across its fulfillment network signals a shift in warehouse and manufacturing automation. We examine the technical systems behind the rollout and what it means for industrial integrators.
FANUC's new AI-enhanced CRX cobots feature built-in machine learning for adaptive path planning and force control, cutting programming time by up to 70%.
AI-driven inventory management cuts carrying costs 15-25% by optimizing stock levels, predicting demand shifts, and automating reorder decisions across manufacturing facilities.
Machine learning is cutting CNC machining time by 20% or more through AI-optimized toolpaths. Learn how ML-driven CAM software works and what it means for job shops.
Breaking down the EU AI Act's phased timeline for industrial automation — what manufacturers need to know about compliance deadlines, risk classifications, and practical steps.