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Mechanical engineering PhD student Ted Sender configures the physical MRZR vehicle platform, interfaced with a synthetic off-road environment in the Digital Engineering (DE) lab of the Automotive Research Center. A wraparound screen creates an immersive experience. This DE setup supports integrated autonomy and mobility testing in mission-relevant scenarios. Photo: Levi Hutmacher/Michigan Engineering
May 22, 2025

Off-road autonomy and digital twins: a Q&A with Bogdan Epureanu

Going beyond driving or tele-operating single vehicles, an up-to-date digital environment is needed to help humans operate fleets of autonomous vehicles.

Professor Bogdan I. Epureanu, Director of the U.S. Army Automotive Research Center (ARC) and Roger L. McCarthy Professor at the University of Michigan, delivers a featured presentation on “Mobility at Michigan” during the SAE WCX 2025 Learning Lab in Detroit. Photo credit: University of Michigan.
April 23, 2025

Driving the Future of Autonomy: ARC Director Showcases “Mobility at Michigan” at SAE WCX 2025

At the 2025 SAE World Congress Experience, Professor Bogdan I. Epureanu highlighted the University of Michigan's leadership in advancing autonomous mobility through the U.S. Army Automotive Research Center, with applications in sectors like mining and agriculture.

Prof. Bogdan Epureanu, Director of the ARC, moderates discussion panel with GVSC Thrust Area leaders
December 9, 2024

ARC Hosts Digital Engineering Workshop to Shape the Future of Ground Vehicle Systems

The Automotive Research Center (ARC) at the University of Michigan, a U.S. Army Center of Excelling for Modeling and Simulation of Ground Vehicle Systems hosted a half day workshop to define research to support for the U.S. Army's directive to advance autonomous and off-road ground vehicle systems. Key participants, including Dr. David Gorsich, worked on defining basic DE research questions, had a panel discussion, an idea lab which prioritized research themes.

opposed piston engine configured in a series hybrid architecture
June 21, 2021

Adapting Engines for the Future

A team of researchers are exploring how to optimize hybrid engines to ensure longevity under all operating conditions

deconstructing the fundamental structures of natural dialog to create a model for autonomous vehicles to follow when in the field
May 31, 2021

Bridging the Communication Gap

People have been chatting with machines for decades. Despite advances in machine learning and artificial intelligence, the conversations are not terribly dynamic and have proven to be grossly inadequate in a highly-dynamic, unstructured environment. Researchers at the University of Michigan are deconstructing the fundamental structures of natural dialog to create a model for autonomous vehicles to follow when in the field.

Problem: autonomous vehicles are able to explore large uncharted territories but cannot “report back”. Solution: in-the-wild multimodal question answering to equip vehicles with ability to answer questions.
May 17, 2021

Mind Your Q&A’s

Researchers work on a new technology to help machines see, process, and communicate about their environment

cluttered environment
March 29, 2021

Learning from Nature

A team of researchers are exploring how biosonar could be applied to improve navigation for autonomous vehicles

Coastal Navigation With Dead Reckoning by J.S. Bond, licensed under Creative Commons.
March 15, 2021

Navigation for the Twenty-first Century

Researchers are developing navigation technology to modernize ‘dead reckoning’ for autonomous vehicles

platooning schematic
February 15, 2021

Less is More: Intelligent Power Systems with fewer Components

Automotive Research Center researchers are inventing new powertrain architectures and control methods to maximize energy efficiency and reliability in platoons of hybrid electric vehicles

attacker-defender model to simulate an encounter between a modular fleet of vehicles against a conventional force
January 26, 2021

Next Gen Military Vehicles: Modular and Autonomous

Automotive Research Center researchers are leading the way in creating adaptable vehicles that can operate in dynamic and adversarial environments