Quadrupedal Robotic Explorers Demonstrate Semi-Autonomous Speed Advantage for Lunar and Martian Resource Prospecting

New semi-autonomous quadrupedal robots can scan planetary surfaces for resources and life twice as fast as human-guided rovers, according to researchers.

By: AXL Media

Published: Mar 31, 2026, 3:19 AM EDT

Source: Information for this report was sourced from Frontiers in Space Technologies

Breaking the Communication Constraint in Planetary Science

Current planetary exploration is severely hampered by the "speed of light" delay, where signals between Earth and Mars can take up to 22 minutes to travel one way. This latency forces rovers to move with extreme caution, often traveling only a few hundred meters per day while waiting for scientists to approve every movement. A collaborative research team involving ETH Zurich and the University of Basel has now demonstrated that semi-autonomous robots can bypass these constraints by making localized decisions to examine rocks, effectively shifting from a "command-every-step" model to a "multi-target" survey strategy.

The Quadrupedal Advantage in Hazardous Terrain

To test this autonomous approach, the team utilized the "ANYmal" quadrupedal robot, which offers superior mobility over traditional wheeled rovers when navigating rocky or uneven landscapes. Equipped with a specialized robotic arm, the explorer carried a compact scientific payload including a microscopic imager and a portable Raman spectrometer. This setup allowed the robot to not only reach difficult geological formations but also to physically deploy instruments directly onto rock surfaces to collect high-fidelity data without a human operator guiding the arm’s precise articulation.

Simulating the Red Planet at the Marslabor Facility

The experiments were conducted within the "Marslabor" at the University of Basel, a facility specifically designed to simulate the environmental conditions of the Martian surface. Using analogue rocks, planetary dust known as regolith, and controlled lighting, the robot was tasked with identifying diverse mineral types. The system successfully characterized scientifically significant samples, including basalts and anorthosite—rocks that are critical indicators of volcanic history and potential resources for future lunar or Martian colonies.