Streamlined path-finding model helps unmanned vehicles search 15 times as fast as conventional model

A hiker is lost in the forest, and winter weather is setting in. The search needs to be speedy, thorough and efficient. Searchers send out an autonomous robotic drone. But how does it know where it should go? New research from Rohan Ghuge, assistant professor of information, risk and operations management at McCombs School of Business at The University of Texas at Austin, can help.