Researchers at the University of Washington have now created MilliMobile, a tiny, self-driving robot powered only by surrounding light or radio waves. Equipped with a solar panel–like energy harvester and four wheels, MilliMobile is about the size of a penny, weighs as much as a raisin, and can move about the length of a bus (30 feet or 10 meters) in an hour, even on a cloudy day. The robot can drive on surfaces such as concrete or packed soil and carry nearly three times its own weight in equipment like a camera or sensors. It uses a light sensor to move automatically toward light sources so it can run indefinitely on harvested power.
The team tested MilliMobile, both indoors and outdoors, in environments such as parks, an indoor hydroponic farm, and an office. Even in very low light situations — for instance, powered only by the lights under a kitchen counter — the robots are still able to inch along, though much slower. Running continuously, even at that pace, opens new abilities for a swarm of robots deployed in areas where other sensors have trouble generating nuanced data.
“We took inspiration from ‘intermittent computing,’ which breaks complex programs into small steps, so a device with very limited power can work incrementally, as energy is available,” said co-lead author Kyle Johnson, a UW doctoral student in the Paul G. Allen School of Computer Science & Engineering. “With MilliMobile, we applied this concept to motion. We reduced the robot’s size and weight, so it takes only a small amount of energy to move. And, similar to an animal taking steps, our robot moves in discrete increments, using small pulses of energy to turn its wheels.”
These robots are also able to steer themselves, navigating with onboard sensors and tiny computing chips. To demonstrate this, the team programmed the robots to use their onboard light sensors to move towards a light source.
Researchers have outfitted MilliMobile with light, temperature, and humidity sensors as well as with Bluetooth, letting it transmit data over 650 feet (200 meters). In the future, they plan to add other sensors and improve data-sharing among swarms of these robots.
Vicente Arroyos, a UW doctoral student in the Allen School, was a co-lead author. Dennis Yin, who completed this work as a UW undergraduate in electrical and computer engineering, and Shwetak Patel, a UW professor in the Allen School and in electrical and computer engineering, are co-authors, and Vikram Iyer, a UW assistant professor in the Allen School, is the senior author. This research was funded by an Amazon Research Award, a Google Research Scholar award, the National Science Foundation Graduate Research Fellowship Program, the National GEM Consortium, the Washington NASA Space Grant Consortium, the Pastry-Powered T(o)uring Machine Endowed Fellowship, and the SPEEA ACE fellowship program.
Source: University of Washington