This is a sample course used for the demonstration of Linang's features.
There's a revolution happening around us and all over the world. Smart, connected machines, or robotics and autonomous systems (RAS), are acting as tools to support us, working alongside us or alone, making independent decisions and even learning. They act and sense in the real world, connected and collaborating in the internet of things, generating and enabled by large quantities of data, using artificial intelligence to reason, classify, control and interact. They have emerged from research prototypes into practical applications. Autonomous and semiautonomous cars on our streets are one very public example. Other RAS include manufacturing systems that can personalise bespoke designs and reconfigure during normal operations; robotic fulfilment centres that assemble, package and dispatch goods ordered online; drones that deliver packages, or map, inspect and repair in our offshore oilfields and nuclear facilities; assistive exoskeletons to help us move and lift; and interactive companions for the elderly and isolated.
In the same
way the information and communications technology (ICT) revolution
affected everything that uses data, the RAS revolution is changing
everything that moves. There are multiple ways robots and autonomous systems are being used to
improve safety. As well as removing people from hazardous situations,
they may be an integral part of a system in partial control such as an
aircraft autopilot. As tools that physically collaborate with people,
they can act as assistants to prevent injury, for example as a body
exoskeleton during lifting. They can perform inspection of assets such
as structures or pressure vessels more frequently, with greater access,
more sensors and less down time than people, leading to earlier defect
detection and greater reliability.
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