Autonomous Heavy-Duty Mobile Machinery: A Multidisciplinary Collaborative Challenge

Tyrone Machado, David Fassbender, Reza Taheri, Daniel Eriksson, Himanshu Gupta, Amirmasoud Molaei, Paolo Forte, Prashant Rai, Reza Ghabcheloo, Saku Mäkinen, Achim J. Lilienthal, Henrik Andreasson, Marcus Geimer

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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Heavy-duty mobile machines (HDMMs) are a wide range of machinery used in diverse and critical application areas which are currently facing several issues like skilled labor shortages, poor safety records, and harsh work environments. Consequently, efforts are underway to increase automation in HDMMs for increased productivity and safety, eventually transitioning to operator-less autonomous HDMMs to address skilled labor shortages. However, HDMMs are complex machines requiring continuous physical and cognitive inputs from human operators. Thus, developing autonomous HDMMs is a huge challenge, with current research and developments fragmented into several independent research domains. Furthermore, autonomous HDMM technologies are a stack of several technologies requiring a convergence of diverse competencies from the different domains. Through this study, we provide an overview of the HDMM industry and use the bounded rationality concept to propose multidisciplinary collaborations for new developments in autonomous HDMMs. Furthermore, we apply the transaction cost economics framework to highlight the conceptual challenges and implications of these collaborations. Therefore, we bring together several domains of the HDMM industry to introduce autonomous HDMMs as a general and unified approach. The collaborative challenges and potentials are mapped out between the following topics: mechanical systems, AI methods, software systems, sensors, connectivity, simulations and process optimization, business cases, organization theories, and finally, regulatory frameworks. In doing so, we highlight the need for new and multidisciplinary perspectives that should be considered by academic and industrial practitioners working on the development and deployment of autonomous HDMMs.
Original languageEnglish
Title of host publication2021 IEEE International Conference on Technology and Entrepreneurship (ICTE)
Number of pages8
ISBN (Electronic)978-1-6654-3895-7
ISBN (Print)978-1-6654-4598-6
Publication statusPublished - 5 Nov 2021
Publication typeA4 Article in conference proceedings
EventIEEE International Conference on Technology and Entrepreneurship - Kaunas, Lithuania, Kaunas, Lithuania
Duration: 24 Aug 202127 Aug 2021


ConferenceIEEE International Conference on Technology and Entrepreneurship


  • Automation
  • Augmentation
  • Autonomous
  • Collaboration
  • Mobile machinery
  • Transaction cost economics

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Strategy and Management
  • Mechanical Engineering
  • Control and Systems Engineering
  • Electrical and Electronic Engineering


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