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Multi-agent systems (MAS) are ubiquitous in nature and science, from flocks of birds and neurons in the brain, to social networks and quantum spin systems. That makes the question of how to control these natural or manmade systems a popular problem for engineers.

Nisar Ahmed is developing collaborative human and autonomous robot vehicle systems and machine learning and artificial intelligence for aerospace applications. An assistant professor in Ann and H.J. Smead Aerospace Engineering Sciences at CU Â鶹ӰԺ, Ahmed's work is advancing how people and robots interact and work with eachother.

By combining concepts from artificial intelligence and machine learning with well-known control theories, he may have found a new approach that could prove key to moving forward on many fronts.

Researchers at the Â鶹ӰԺ are exploring how widespread use of electric vehicles in the future may impact vulnerable communities.

CU Â鶹ӰԺ may soon be part of large-scale research into the electromagnetic spectrum that could define wireless innovation across everyday life for the next generation.

Competition tests autonomous robots—built, tested and deployed by CU Â鶹ӰԺ students—in underground search and rescue effectiveness.

Assistant Professor Robert MacCurdy from the Paul M. Rady Department of Mechanical Engineering's project is titled "Patient-specific On-demand Pre-surgical Planning Models via 3D Printing."

Behind the scenes, CU Â鶹ӰԺ computer science Research Professor Kevin Gifford and PhD student Siddhartha Subray are playing a key role in helping to define interoperability standards for a groundbreaking system.

Researchers at CU Â鶹ӰԺ are leading four new NSF-funded projects that are exploring the safety and security of autonomous systems, including those used in self-driving vehicles.

In a study published in the Journal of The Royal Society Interface, Assistant Professor Orit Peleg and her lab members work to understand how fireflies – relatively simple insects – manage great feats of synchronization.