FEATURE Robotics
A platform that combines robotics, AI, and autonomous mobility can be used to build adaptive, intelligent, and scalable automation solutions that can respond to the dynamic nature of logistics
deep well of previous project experience. The results from performance case studies can be combined with simulation tools and modular rollouts to reliably demonstrate the likely benefits and ROI from a planned deployment with a high degree of certainty. For potential robot users concerned with maximising the useful life of their investments over the longer term, data analytics enable remote diagnostics and predictive maintenance. Again, opting for an established supplier with a global support network makes it easier to maximise uptime and prevent unexpected outages. Worker safety has always been critical in
robotic deployments, and regulators have recently upped the ante with a new, more rigorous safety framework set out in the latest revisions to ISO 10218-1 and ISO 10218-2. Compliance today is less about the safety of the robot itself and more about the design and validation of the complete human-robot system. The latest generation of cobots can deliver industrial speed and performance without compromising their ability to work
safely alongside human colleagues. Beyond individual facilities, the next phase of logistics automation will be driven by AI-powered orchestration platforms that connect robots, warehouse management systems, inventory data, and human workers into a single intelligent ecosystem. Using real- time operational data, these platforms can dynamically allocate tasks, predict bottlenecks before they occur, and optimise the flow of goods across multiple sites. Combined with digital twin technology and advanced simulation tools, operators can model proposed changes, validate performance improvements, and scale automation
deployments with greater confidence. By providing the tools to enable end-to- end integration, automation companies are increasingly helping warehouses and distribution centres shift from static automation to intelligent, scalable autonomous systems. The momentum is growing, and logistics providers cannot afford to be left behind in the next wave of deployments. * The Office for National Statistics. ** YouGov.
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https://www.sellerscommerce.com/blog/ warehouse-automation-statistics/
ABB Robotics
www.abb.com/global/en/areas/robotics
®
Optical Filters for Industrial Automation
Features: •
Tightly held spectral tolerances for repeatable performance
• Designed for use in a wide range of inspection systems • Durable sputtered construction • Affordable cataglog and customized solutions • Detect the signal you need, reduce the noise you don’t
Applications: • Robotic Vision • Food Inspection • Semiconductor Inspection
• Waste Sorting • Crop Monitoring • Medical Imaging Analysis
chroma.com
automationmagazine.co.uk Automation | October 2026 11
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