New method could allow multi-robot teams to autonomously and reliably explore other planets

While roboticists have developed increasingly sophisticated systems over the past decades, ensuring that these systems can autonomously operate in real-world settings without mishaps often proves challenging. This is particularly difficult when these robots are designed to be deployed in complex environments, including space and other planets.

Researchers at the University of Glasgow recently developed a new methodology that could allow teams of multiple rovers to autonomously and reliably explore other planets. This method, introduced in a paper pre-published on arXiv, incorporates data derived from various sources, including imaging data, maps and information collected by sensors, to plan efficient routes for different robots in a team.

"Using a team of planetary exploration rovers to explore the Martian surface, rather than a single rover, could greatly extend the scientific capabilities of a mission," Sarah Swinton, first author of the paper, told Tech Xplore. "All planetary exploration rovers must employ some level of autonomy, as the communication latencies between the Earth and Mars make it extremely difficult and time consuming for humans to carry out drive actions. Employing a team of rovers places a further emphasis on autonomy, as the difficulty of coordinating their behaviors increases for human operators."

The primary goal of the recent study by Swinton and her collaborators was to effectively tackle a long-standing research problem in robotics: Effectively tackling multi-robot autonomous planetary exploration missions. To do this, the team developed a multi-rover mission planner that allows a team of several rovers, small robots designed for space exploration, to autonomously, safely and efficiently explore an area of the Martian surface.

"The method we proposed enables a robot team to autonomously explore the Martian surface through two key stages: map generation and mission planning," Swinton explained. "First, a map of the environment is created using data from the Mars Reconnaissance Orbiter. We specifically used data from Jezero Crater, where NASA's Perseverance rover is currently operating."

After creating a map of the environment that the rovers will explore on Mars, the team's planner analyzes it and splits it into different regions, highlighting parts with terrain that the rovers can safely traverse. Subsequently, the planner overlays a probability distribution map, which highlights the probability that rovers will encounter locations of scientific interest at specific sites within the environment they are exploring.

"These points could represent rocks that we want the rovers to take samples from," Swinton said. "Once this map has been created, our mission planner searches the environment to identify an efficient route which will increase the likelihood of finding the points of interest. A coordinated set of safe paths for each member of the rover team is then identified."

The multi-rover mission planner developed by Swinton and her colleagues has various advantages over previously developed approaches. In addition to delineating terrain that the rovers can safely travel in and planning paths for their autonomous operation, the planner also provides information about where sites of scientific interest could be.