Better teleoperations with a less complicated system

November 04, 2019

Bilateral teleoperation systems are complicated robotic systems that allow people to perform tasks remotely or in hard to access environments. 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.

A team of international researchers tackled this challenge by proposing a new control algorithm and proved that it is possible to reduce the complexity of the bilateral teleoperation systems while keeping its performance successful.

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. According to the authors "a reduced complexity version of the state convergence scheme has not yet been reported in previous studies."

The authors then tested and proved their theories in simulated environments with a single degree-of-freedom system, a system that is able to accomplish one type of action as designed. The authors also conducted comparative studies and their results showed that the proposed system showcased a better transient performance

Next, the authors will continue to test the new system's ability and quality to withstand different conditions and analyze results derived from parametric uncertainties.
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Contributors of this study include M. Usman Asadat. Umar Farooq and Jason Gu all from the Department of Electrical Engineering of Dalhousie University in Canada; Ghulam Abbas at the Department of Electrical Engineering of the University of Lahore in Pakistan; Rong Liu from the Department of Biomedical Engineering of Dalian University in China; and Umar Farooq at the department of electrical and Valentina E. Balas from the Department of Automatics and Applied Software of the "Aurel Vlaicu" University of Arad in Romania.

This study was supported by the National Sciences and Engineering Research Council of Canada (NSERC).

Fulltext of the paper is available:

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8823577

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2019.1911690

IEEE/CAA Journal of Automatica Sinica aims to publish high-quality, high-interest, far-reaching research achievements globally, and provide an international forum for the presentation of original ideas and recent results related to all aspects of automation. Researchers (including globally highly cited scholars) from institutions all over the world, such as MIT, Yale University, Stanford University, University of Cambridge, Princeton University, select to share their research with a large audience through JAS.

We are pleased to announce IEEE/CAA Journal of Automatica Sinica's latest CiteScore is 5.31, ranked among top 9% (22/232) in the category of "Control and Systems Engineering", and top 10% (27/269?20/189) both in the categories of "Information System" and "Artificial Intelligence". JAS has been in the 1st quantile (Q1) in all three categories it belongs to.

Why publish with us: Fast and high quality peer review; Simple and effective online submission system; Widest possible global dissemination of your research; Indexed by IEEE, ESCI, EI, Scopus, Inspec. JAS papers can be found at http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6570654 or http://www.ieee-jas.org

Chinese Association of Automation

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