Produced by: Tarun Mishra
Robotic systems face difficulties in autonomously operating in complex environments like space. Researchers at the University of Glasgow have developed a new methodology to address this challenge, focusing on multi-robot teams.
A new method allows multiple rovers to autonomously explore planetary surfaces. This technique utilizes data from imaging, maps, and sensors to plan efficient routes for each rover in a team.
Using a team of rovers instead of a single one can enhance the scientific capabilities of planetary missions. Autonomy is crucial due to communication delays between Earth and planets like Mars.
The study aimed to solve the problem of coordinating multi-robot autonomous planetary exploration. The researchers created a multi-rover mission planner for safe and efficient exploration of Martian surfaces.
The method involves creating a map of the Martian environment using data from the Mars Reconnaissance Orbiter, specifically focusing on Jezero Crater. The map is then analysed and divided into regions that rovers can safely traverse.
A probability distribution map highlights potential sites of scientific interest. The mission planner uses this information to identify efficient routes for the rovers to maximize the likelihood of finding these points.
The new planner provides detailed terrain information, plans safe paths, and identifies potential sites of interest. This approach allows a rover team to explore 22500m² of the Martian surface quickly and efficiently.
While currently focused on Mars exploration, the methodology could be applied to other missions, such as search and rescue operations on Earth. Future work will enhance fault tolerance and autonomous diagnostics within multi-robot teams to ensure mission reliability.