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IEP_Joshua Marshall_

Joshua Marshall

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Innovation, Equity, & The Future of Prosperity

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About

Joshua Marshall is a Professor in the Department of Electrical & Computer Engineering at Smith Engineering, Instructor in the Mechatronics & Robotics Engineering program, a Faculty Member at the interdisciplinary Ingenuity Labs Research Institute and Director of the Offroad Robotics research group at Queen’s University. Professor Marshall is widely known for his contributions as a robotics engineer, educator and consultant in the application of mobile robotics in mining, space, marine and defence, as well as in other harsh-environment applications. His work is featured in the From Earth to Us exhibit at the Canada Science and Technology Museum and has been commercialized through companies such as Epiroc (formerly Atlas Copco), Peck Tech Consulting (acquired by Caterpillar) and spin-off RockMass Technologies (now GroundedAI). Professor Marshall is also a strong public advocate for robotics – aka, physical AI–in Canada and internationally through his research, teaching, multiple volunteer roles and inclusive cross-disciplinary initiatives.

Awards

  • Engineering Medal for R&D, Ontario Society of Professional Engineers (OSPE), 2025
  • Names to Know in Mining, Canadian Institute of Mining, Metallurgy & Petroleum (CIM), 2025
  • Mind to Market Award, Ontario Centre of Innovation (OCI), 2021
  • Elected a Senior Member, Institute for Electrical & Electronics Engineers (IEEE), 2013

Relevant Publications

  • Marshall, J.A., Bonchis, A., Nebot, E., Scheding, S. (2016). Robotics in Mining. In: Siciliano, B., Khatib, O. (eds) Springer Handbook of Robotics. Springer Handbooks. Springer, Cham., 1549–1576. DOI: 10.1007/978-3-319-32552-1_59
  • Marshall, J., Barfoot, T. and Larsson, J. (2008),. Autonomous Underground Tramming for Center-Articulated Vehicles. Journal of Field Robotics, 25, 400-421. DOI: 10.1002/rob.20242
  • Marshall, J. A., Broucke, M. E., & Francis, B. A. (2004). Formations of Vehicles in Cyclic Pursuit. IEEE Transactions on Automatic Control, 49(11), 1963-1974. DOI: 10.1109/TAC.2004.837589

Institution

Queen's University

Department

Department of Electrical & Computer Engineering

Education

  • PhD (Electrical & Computer Engineering), University of Toronto
  • MSc (Mechanical Engineering), Queen's University
  • BSc (Mining & Mechanical Engineering), Queen's University

Country

Canada

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