Xiaogan Liang, a U-M professor of mechanical engineering, helped develop an analog computer that steers robots using just 0.25% of the power needed by conventional controllers. By utilizing memristor technology, the device mimics neural behavior to control a rolling robot and a lever arm with extreme accuracy. Liang says this technology could have potential real-world applications in drones, rovers, and autonomous vehicles.
