Many autonomous mobile robots use SLAM (Simultaneous Localization and Mapping) technology to determine their position and map their surroundings. Here is how this technology works, the hardware and software components it relies on, and its advantages and limitations.

The industry is building a collection of interconnected digital environments that increasingly mirror physical assets and processes.

Early radar level sensors were expensive, bulky and sometimes complex to implement. Advances in radio technology have made them increasingly compact, high-performing and versatile over the years, while also bringing their cost down.

Laser scanners, encoders and other safety controllers are essential for autonomous mobile robots (AMRs). They enable them to map their environment and navigate safely.

Collaborations between Nvidia and several automation and robotics companies are primarily aimed at integrating AI and simulation technologies to optimise industrial processes.

Humanoid robots are beginning to be deployed at the production sites of car manufacturers such as Mercedes, BMW and Renault to assess their ability to handle material handling and assembly tasks.

A concise technical overview of embedded computing solutions for edge computing presented in recent months on Automation France.

According to a study published by The Business Research Company, the global IO-Link market is experiencing sustained growth, driven by the expansion of industrial automation and connectivity technologies.

IFS and PwC UK point to Industrial AI as a Critical Enabler of Decarbonization for hard-to-abate industries in new report.

From manual to autonomous, the modern supply chain is evolving and is not just automated, but intelligent, adaptive, and alive.