Modern approaches to understanding the autonomy of technical systems

A.S. Korolev, D.V. Ryazanov

Abstract


Now, in various fields of human activity, so-called autonomous technical systems are becoming relevant, capable of providing management with minimal human participation or without human participation at all.

At the same time, some publications interpret the concept of an autonomous technical system capable of making decisions independently in different ways. There are "jargon", from the point of view of the engineering community, the concepts of "Autonomous", "Self-Driving", "Driverless", "Unmanned", "Robotic". In particular, the use of the term "autonomous" leads to ambiguity in the understanding of the concept of "autonomous vehicle", since it remains unclear whether such a vehicle needs any communication or cooperation with external entities for its functioning.

Even greater difficulties arise when translating Western texts or when initially writing Russian-language texts on this topic, since various English-language terms, including those listed above, appear in Russian articles in the form of a single concept of "autonomous".

This article tries to identify the answers to the following questions:

- How is the concept of "autonomy" revealed in generally recognized international standards?

- What basis is laid in the taxonomy of autonomy and how is autonomy measured?

- What taxonomy options are available and what is their rationale?

- What is the connection between autonomy and machine intelligence?

- What is the relationship between autonomy and the capabilities provided by the machine?


Full Text:

PDF (Russian)

References


SAE J3016 (2016): Taxonomy and definitions for terms related to on-road motor vehicle automated driving systems, Revision September 2016, SAE International.

Ørnulf Jan RØDSETH. Defining ship autonomy by characteristic factors// Proceedings of the 1st International Conference on Maritime Autonomous Surface Ships. – 2018.

ISO, Regulatory Scoping Exercise for the Use of Maritime Autonomous Surface Ships (MASS), Proposal for a classification scheme for degrees of autonomy, IMO Document MSC 100/5/1, August 2018.

Kyu-Chul Nam1, Yong-Joo Kim, Hak-Jin Kim, Chan-Woo Jeon4, Wan-Soo Kim. A study on autonomy level classification for self-propelled agricultural machines//Korean Journal of Agricultural Science 48(3) September 2021. Pp 617-627.

Lei Shi, Jiabin Chen, Jiexin Hu, Huiling Chen, Qiang Ma, Ya Guo. An Evaluation Method of Autonomy for Marine Unmanned Vehicles//2020 IEEE 9th Data Driven Control and Learning Systems Conference November 20-22, 2020, Liuzhou, China, pp. 99-104.

Ø rnulf Jan Rødseth1 and Marialena Vagia. A taxonomy for autonomy in industrial autonomous mobile robots including autonomous merchant ships// The 3rd International Conference on Maritime Autonomous Surface Ship (ICMASS 2020). IOP Conf. Series: Materials Science and Engineering 929 (2020) 012003.

Grøtli, E.I., Reinen, T.A., Grythe, K., Transeth, A.A., Vagia, M., Bjerkeng, M.C., Rundtop, P., Svendsen, E., Rødseth, Ø .J. and Eidnes, G., 2015. SEATONOMY Design, development and validation of marine autonomous systems and operations.

Parasuraman, R. and Riley, V., 1997. Humans and automation: Use, misuse, disuse, abuse. Human factors, 39(2), pp.230-253.

Medical robotics—Regulatory, ethical, and legal considerations for increasing levels of autonomy.

Ning Tan Abdullah Aamir Hayat, Mohan Rajesh Elara, Kristin L. Wood. A Framework for Taxonomy and Evaluation of Self-Reconfigurable Robotic Systems // Digital Object Identifier 10.1109/ACCESS.2020.2965327, 2020.


Refbacks

  • There are currently no refbacks.


Abava  Кибербезопасность MoNeTec 2024

ISSN: 2307-8162