EurekAlert reports:

Scientists are diligently working to understand how and why the world’s ice shelves are melting. While most of the data they need (temperatures, wind speed, humidity, radiation) can be obtained by satellite, it isn’t as accurate as good old-fashioned, on-site measurement and static ground-based weather stations don’t allow scientists to collect info from as many locations as they’d like.

And unfortunately, the locations in question are volatile ice sheets, possibly cracking, shifting and filling with water — not exactly a safe environment for scientists.

To help scientists collect the more detailed data they need without risking scientists’ safety, researchers at the Georgia Institute of Technology, working with Pennsylvania State University, have created specially designed robots called SnoMotes to traverse these potentially dangerous ice environments. The SnoMotes work as a team, autonomously collaborating among themselves to cover all the necessary ground to gather assigned scientific measurements. Data gathered by the Snomotes could give scientists a better understanding of the important dynamics that influence the stability of ice sheets.

:In order to say with certainty how climate change affects the world’s ice, scientists need accurate data points to validate their climate models," said Ayanna Howard, lead on the project and an associate professor in the School of Electrical and Computer Engineering at Georgia Tech. "Our goal was to create rovers that could gather more accurate data to help scientists create better climate models. It’s definitely science-driven robotics."

Howard was previously a scientist at NASA, and so you can argue that there's a family resemblance-- and a design one-- between planetary explorers and SnoMotes.

The SnoMote represents two key innovations in rovers: a new method of location and work allocation communication between robots and maneuvering in ice conditions.

Once placed on site, the robots place themselves at strategic locations to make sure all the assigned ground is covered. Howard and her team are testing two different methods that allow the robots to decide amongst themselves which positions they will take to get all the necessary measurements.

The first is an “auction” system that lets the robots “bid” on a desired location, based on their proximity to the location (as they move) and how well their instruments are working or whether they have the necessary instrument (one may have a damaged wind sensor or another may have low battery power).

The second method is more mathematical, fixing the robots to certain positions in a net of sorts that is then stretched to fit the targeted location. Magnus Egerstedt is working with Howard on this work allocation method.

In addition to location assignments, another key innovation of the SnoMote is its ability to find its way in snow conditions. While most rovers can use rocks or other landmarks to guide their movement, snow conditions present an added challenge by restricting topography and color (everything is white) from its guidance systems.

For snow conditions, one of Howard's students discovered that the lines formed by snow banks could serve as markers to help the

SnoMote track distance traveled, speed and direction. The SnoMote could also navigate via GPS if snow bank visuals aren’t available.