Connecting industrial equipment to IT networks makes it easier to monitor operations, carry out maintenance and use production data, but it also exposes industrial facilities to cyber threats. Risk assessment helps organisations identify appropriate protective measures based on the specific characteristics and constraints of each industrial environment.

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.

Developing robots capable of competing in table tennis is far from mere entertainment. It serves as a technological test bench for validating advances in agile robotics in real-world environments.

Sony has developed an autonomous robotic arm capable of competing with professional table tennis players.

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.