AI Uses Vibrations to Help Robots Detect Buried Rocks

Virginia Tech researchers developed an AI method to estimate how deeply rocks are buried by measuring vibrations.

The work could help robots exploring other planets understand the ground beneath them without relying on people to judge each obstacle.

Rovers have limited energy, so they need to know whether a buried rock can be cleared or should be avoided.

To test the method, the team buried 18 concrete blocks in sand at different depths and struck their exposed parts with an instrumented hammer.

A laser device measured the resulting vibrations, and a neural network used those readings and visible rock features to estimate burial depth.

The researchers say the system could help future rovers make obstacle decisions autonomously, reducing wasted time and energy.

The approach was described in a paper published in IEEE Sensors Journal; the sources do not give a date for a mission using it.