Towards a Standard Taxonomy for Levels of Automation in Heavy-Duty Mobile Machinery

Author:

Machado Tyrone1,Ahonen Andrei1,Ghabcheloo Reza1

Affiliation:

1. Tampere University, Tampere, Finland

Abstract

Abstract Automated and autonomous systems change the nature of human interactions and their respective role within the systems. To characterize such changes, several domain specific levels of automation (LOA) taxonomies have been proposed over the years. The SAE J3016 levels for driving automation have been adopted as the de-facto standard in the automotive industry and the broader society. However, the heavy-duty mobile machinery (HDMM) industry does not have a commonly accepted LOA taxonomy, thereby relying on organizational specific LOA taxonomies adapted from SAE J3016. Moreover, HDMM handle and transport external materials in addition to driving tasks. Thus, SAE J3016 inadequately captures the manipulation operations of HDMM. This paper proposes a new LOA taxonomy for HDMM, to accommodate both, the manipulation and driving operations of HDMM. Building on the SAE J3016 taxonomy, the LOA in this paper is proposed as a two-dimensional 6 × 6 matrix, with machine manipulation operations on one dimension, and driving operations on the other. Thus, the LOA matrix could be generalized for HDMM in different application areas. The proposed LOA matrix could also serve as a guide and starting point for future standardized and collaborative discourse in HDMM research, development, and subsequent deployments.

Publisher

American Society of Mechanical Engineers

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Toward Cooperative Adaptive Cruise Control: A Mini-review;2024 International Conference on Circuit, Systems and Communication (ICCSC);2024-06-28

2. A design space for automated material handling vehicles;Frontiers in Robotics and AI;2023-12-14

3. Identifying Factors That Impact Levels of Automation in Autonomous Systems;IEEE Access;2023

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