Features
Adapting Engines for the Future
A team of researchers are exploring how to optimize hybrid engines to ensure longevity under all operating conditions
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.
Mind Your Q&A’s
Researchers work on a new technology to help machines see, process, and communicate about their environment
Learning from Nature
A team of researchers are exploring how biosonar could be applied to improve navigation for autonomous vehicles
Navigation for the Twenty-first Century
Researchers are developing navigation technology to modernize ‘dead reckoning’ for autonomous vehicles
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
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
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
Data Is Power
Neural network provides unsupervised learning for autonomous vehicles
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