Sound Detection Provides New Layer of Safety for Human Robot Interaction
For a long time, the "eyes" of autonomous robots have been limited by the same things that bother humans: blinding glare, pitch-black rooms, and clouds of dust. While LiDAR and cameras have dominated the industry, they often struggle in the messy, unpredictable environments of a real-world warehouse. Sonair's ADAR (Acoustic Detection and Ranging) technology aims to fix this by ditching light entirely and giving robots a "sense of hearing" instead.
Developed from research at Norway's SINTEF institute, ADAR is the first commercial 3D ultrasonic sensor of its kind. While traditional ultrasonic sensors (like the parking sensors on your car) are great for simple distance checks, they usually offer a narrow, flat view. ADAR changes the game by using MEMS-based transducer arrays to create a full 180° by 180° spatial map. It's essentially sonar for the factory floor, allowing machines to perceive their surroundings in three dimensions rather than just scanning a flat slice of the room.
The move to sound-based vision solves several headaches for robot operators. Because sound waves don't care about lighting, ADAR works perfectly in environments with highly reflective surfaces -- like polished metal or glass -- where lasers often get confused. It's also immune to the "blinding" effects of bright sunlight or the visibility issues caused by heavy dust and debris. By providing a reliable, short-range safety layer, it helps robots distinguish between a real obstacle and a harmless environmental factor, reducing the "false positives" that lead to unnecessary stops and lost productivity.
We are already seeing this tech move out of the lab and into the real world. Swiss manufacturer Cleanfix has integrated ADAR into its RA660 Navi XL cleaning robots, proving that the system can handle the complex foot traffic of sports venues and industrial plants.
As Sonair expands into the North American market following a successful $6 million funding round, the goal isn't just to make robots smarter -- it's to ensure that as machines and humans work more closely together, the safety measures keeping them apart are as fail-proof as possible.
Want more information? Click below.
Rate this article
View our terms of use and privacy policy ::m::