Beyond Sight: Ensuring Safety Where Vision Falls Short

Cameras and LiDAR have dominated robotic perception for years. But they’re not enough.

If you’ve ever watched an autonomous robot stop dead in its tracks because of a shadow, a reflective surface, or poor lighting, you’ve seen the problem firsthand. In warehouses, factories, and outdoor environments, machines need to perceive the world beyond what the eye - or a laser - can see.

These flaws are not trivial; they pose serious safety risks to humans, objects, and other moving machines.

This is why we built ADAR (acoustic detection and ranging).

The technology behind echolocation has been perfected by nature for millions of years, yet it’s missing from the world of robotics. Until now.

Our new whitepaper, “Beyond sight,” dives deep into why multisensory perception is the future of autonomy—and how Sonair’s 3D ultrasonic sensing tech is bringing a new dimension of safety and reliability to autonomous machines.

It's authored by Alfonso Rodríguez-Molares (PhD in Signal Processing). He has published over 25 peer-reviewed articles, amassing 1545 citations to date, and created the Ultrasound Toolbox (USTB) - an open-source platform widely embraced by the ultrasound research community.

What’s inside?

• Why vision-based sensors alone fail in critical situations
• How ADAR delivers 3D perception using ultrasonic sensing in air
• Why ultrasonic sensing is the missing piece for autonomous robotics
• How robots can achieve safer, more reliable navigation in real-world environments

Download the whitepaper (free)

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