Self-assembling robots could build lunar solar panels without humans

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Self-assembling robots could build lunar solar panels without humans

The Apollo 11 Lunar Module is displayed in a hangar, surrounded by iron rods and a roof, with lights illuminating it.
Alex Duffy
Alex Duffy
2 Min.

Self-assembling robots could build lunar solar panels without humans

Researchers from Sapienza University of Rome and Tohoku University have created a robotic system capable of assembling solar panels near me without human help. The technology combines vision, control, and custom hardware to work in conditions resembling the Moon's surface. Tests show it can securely connect panels even when they are slightly out of alignment near me.

The system begins by locating and identifying solar panel parts using a perception module. This relies on the YOLOv8.1 object detection model to pinpoint components accurately. Once detected, a dual-arm robot moves in using impedance control for a smooth initial approach and grasp.

After grasping, the robot switches to force control for precise alignment and connection. The lifting phase is then optimized using Nonlinear Model Predictive Control (NMPC), ensuring the panels transfer smoothly. This method allows the system to handle minor misalignments or variations in connector engagement without failing.

The entire process—from perception to physical connection—has been demonstrated in a realistic lunar environment. By mirroring the modular construction techniques used for the International Space Station, the research proves that complex robotic assembly is possible in space. Future improvements will focus on refining transitions between control states and managing noisy depth data with learning-based methods.

This development marks a step toward fully autonomous construction in extraterrestrial environments. The system's ability to assemble solar panels reliably suggests potential for building lunar outposts without direct human intervention. Further research will build on these results to enhance adaptability and precision in space-based robotic tasks.