We are designing approaches so that teams of vehicles can handle uncertainty while still completing the mission with success. That is what we mean by resilient teams.
University of Michigan researchers explore how to extend the life of autonomous vehicles by optimizing batteries and fuel
“If you want to make a good algorithm for playing chess even better, one way to do it is to let the algorithm play against itself,” said Ram Vasudevan, assistant professor of Mechanical Engineering at UMich. “By playing against itself, the algorithm can learn how to maneuver more successfully through the game.”
Improving vehicle performance by reducing the time it takes to evaluate traction as the vehicle’s wheels encounter changing soil conditions to ensure safe navigation.
Creating an ultrasound sensor system that allowed autonomous vehicles to operate in an uncertain world under inclement weather conditions while retaining their anonymity.
What if the thermal energy from waste heat could be captured, stored, and reused?
A research team is using drivers’ real-time physiological and driving data to develop algorithms that improve how the autonomous component in a car responds to an overly tasked driver.
Researchers have developed algorithms that can help machines learn from day-to-day interactions to operate efficiently and safely to avoid damage.
If you’ve ever felt like packing your car for a trip was like a game of Tetris, you can relate to the challenge of fitting a heavily equipped soldier into a military vehicle.
Researchers are developing and testing algorithms that build resilience into networked systems to stave off corruption by antagonistic forces.