They can be used in various fields including entertainment systems, industrial machinery, drones, and even surgeries that are performed by doctors who are not in the same physical location as their patients.
Making such systems less complicated while carrying out their tasks successfully is a key factor for improving the teleoperation performance and experience.
The authors published their results this September in IEEE/CAA Journal of Automatica Sinica, a joint publication of the IEEE and the Chinese Association of Automation.
The authors focused their study on state convergence, a type of algorithm that is widely used in modeling teleoperation systems and the interactions occurred within the system.
It is also considered an elegant design procedure through which the teleoperation system can function in an autonomous way and impose desired dynamic behavior between a "master" device that humans operate on and a "slave" device, the device or robot that carries out the action remotely ordered by the "master".
Comparing to standard state convergence, the authors used a less complicated version of the algorithm called the composited stated convergence scheme by reducing the number of communication channels between the mater and the salve devices yet still achieved the desired outcome, the desired dynamic response that was expected of the teleoperations system.