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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

Schematic of human-autonomy teaming
January 4, 2021

A Perfect Pairing

Automotive Research Center researchers are finding the best ways to pair humans and autonomous vehicles to tackle complex problems on the fly in the field

Images courtesy of US Army GVSC
December 7, 2020

Data Is Power

Neural network provides unsupervised learning for autonomous vehicles

Schematic illustrating the Multi Policy Decision Making approach
October 27, 2020

Search and Rescue with Autonomous Robot Teams

A team of researchers at University of Michigan have developed a series of protocols to empower robot teams during search and rescue missions