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How can we create systems that can learn from their environment, take decisions based on what is learned and navigate in this environment autonomously in the face of uncertainty? Decision and Control has considered aspects of these questions for many years. Applications are found everywhere: robotics, economics, biology, manufacturing and other academic fields such as computer science and communications.
Coordinated Science Lab researcher Naira Hovakimyan, a professor in Mechanical Science and Engineering, has received a $1.5 million grant from the National Science Foundation for a project called “ASPIRE,” short for Automation Supporting Prolonged Independent Residence for the Elderly.
Along with doing the laundry and taking out the trash, mowing the lawn is an inescapable chore of everyday life (at least for anyone with a yard in the summer). Sweltering heat, pesky bugs and lack of time are a few barriers that might deter someone from venturing outside to cut the grass, but technology that will make it possible to circumvent the whole job is nearly finished at the Coordinated Science Lab at the University of Illinois at Urbana-Champaign.
What started as casual robotics conversations between engineering professors has resulted in a $1.5 million National Science Foundation (NSF) grant to build mechanical bats for construction sites.
This January marked the beginning of the 15th Annual Cozad New Venture Competition hosted by the Technology Entrepreneur Center at the University of Illinois. Nearly 100 teams applied for this year’s competition and competed through a series of rounds, including elevator pitches and the submission of portions of the Business Model Canvas.
Naira Hovakimyan has a background as a mathematician, which dates back to humble beginnings in Armenia. Over the last 17 years, however, researchers in the United States have tapped Hovakimyan’s calculations to help advance work in the stability of flight control systems. In March, her research group’s L1 control method was successfully tested in a Learjet plane at Edwards Air Force Base in California.
While the French police in “The DaVinci Code” were able to use a GPS chip to track symbologist Robert Langdon through the Louvre Museum after a curator was murdered, CSL Professor Soon-Jo Chung spoils their fun by noting that technology unfortunately it isn’t quite up to speed with that storyline yet.
Aerospace Engineering and CSL Assistant Prof. Soon-Jo Chung is collaborating with Guidance, Navigation, and Control (GNC) experts of NASA/CalTech Jet Propulsion Laboratory (JPL) in developing control strategies to capture and redirect a near-Earth asteroid to a stable obit around the moon.