This robot can “smell ya later” thanks to a biological sensor

The sensor is connected to an electronic system, and a machine learning algorithm is utilized to identify odors.

Robots are getting more sophisticated every year. Whether they are installing parts on an assembly line, helping surgeons perform complicated operations, or cleaning your home’s hardwood floors, robots have become integrated into our everyday lives, offering skills and senses that far surpass those of humans. Cameras allow these electronic marvels to see further and with greater clarity than the human eye, and microphones permit our composite counterparts to hear the softest whisper and record it perfectly. The one talent that has eluded robots is the ability to smell. Until now. 

Researchers at Tel Aviv University have used a biological sensor to allow a robot to smell. Here’s how it works. The sensor is connected to an electronic system, and a machine learning algorithm is utilized to identify odors. This process offers sensitivities 10,000 times greater than other electronic devices.  

In a recent quote, Prof. Yossi Yovel, one of the researchers on the project, said, “We connected the biological sensor and let it smell different odors while we measured the electrical activity that each odor induced. The system allowed us to detect each odor at the level of the insect’s primary sensory organ. Then, in the second step, we used machine learning to create a ‘library’ of smells. In the study, we were able to characterize 8 odors, such as geranium, lemon and marzipan, in a way that allowed us to know when the smell of lemon or marzipan was presented. In fact, after the experiment was over, we continued to identify additional different and unusual smells, such as various types of Scotch whiskey. A comparison with standard measuring devices showed that the sensitivity of the insect’s nose in our system is about 10,000 times higher than the devices that are in use today.”

About the Author

Alexis Gajewski

Alexis Gajewski

Senior Content Strategist

Alexis Gajewski is a manufacturing writer and editor with nearly 20 years of experience covering the people, practices, and technologies that keep industrial facilities running. For more than a decade, she served as Senior Content Strategist for Plant Services, creating content for plant managers, engineers, and maintenance professionals on a variety of industrial topics.

During her tenure, Alexis worked to develop the brand’s digital strategy and helped launch and produce Great Question: A Manufacturing Podcast. She also created The Lighter Side of Manufacturing, a weekly blog that explored the inventive and sometimes humorous side of the industry. 

Alexis co-founded Influential Women in Manufacturing, a recognition program that honored 49 women in its first two years, earned an industry award for Best Product Launch, and received a proclamation from Illinois Governor JB Pritzker and a commendation from U.S. Senator Tammy Duckworth.

She also led newsroom operations and development at a large media company where she set editorial standards, developed training curriculum, and helped support AI adoption for more than 150 editors across 80+ brands spanning manufacturing, industrial processing, automation, and more.

Additionally, Alexis works as a freelance writer and editor, and her areas of interest include continuous improvement, the skilled workforce, and the role of emerging technology on the plant floor.

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