Robohub.org
 

Robots automate testing for bacteria, including coliforms


by
08 July 2014



share this:

About RobohubRobohub is an online platform that brings together leading communicators in robotics research, start-ups, business, and education from around the world. Learn more about us here. If you liked this article, you may also be interested in:

See all the latest robotics news on Robohub, or sign up for our weekly newsletter.

Taihei Environmental Science Center has developed a system that automatically performs water quality testing, and can detect bacteria such as E. coli. In the past, this work had to be done manually. The system uses three robots to completely automate all stages of the process, from collecting a predetermined amount of the sample, injecting agar, agitating, coagulating and inverting, to the placement and storage of the culture in incubators. This level of automation not only eliminates human error, substantially improving test accuracy, but it also increases processing capacity.

“Firstly, the system must be installed in an atmosphere completely free of bacteria. So, it is installed in a clean room. Only the air which passes through a 0.3-micron HEPA filter can enter the clean room, so the system is virtually free of bacteria. Due to this, the testing is done in an extremely clean environment.”

This system can perform the test 50% faster than conventional manual work, and can test 100 samples in two hours. All samples are managed using QR codes, eliminating human errors like mislabeling or taking the wrong sample. The current system is for detecting ordinary bacteria and E. coli in water, but it can be designed in a variety of configurations, so it could be used for other types of bacteria or various other testing applications.

“The system costs 25-35 million yen (US$250,000-350,000), but if users test a lot of samples, they can recover the cost in 5-10 years. In that case, this system could save users quite a lot of money. We do a lot of testing in the evening and at night, which has been a big burden on employees. This system has reduced that burden considerably, resulting in our staff being more cheerful and motivated. In other words, the best thing about this system is that it has made employees keen to become the driving force behind our company.”

Taihei is marketing this system to certified environmental surveyors and food manufacturers. They aim to sell 4-5 units during fiscal 2014. In the future, the company plans to extend sales to the global market.



tags: ,


DigInfo TV is a Tokyo-based online video news platform dedicated to producing original coverage of cutting edge technology, research and products from Japan.
DigInfo TV is a Tokyo-based online video news platform dedicated to producing original coverage of cutting edge technology, research and products from Japan.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

How to teach the same skill to different robots

  11 May 2026
A new framework to teach a skill to robots with different mechanical designs, allowing them to carry out the same task without rewriting code for each.

Robot Talk Episode 155 – Making aerial robots smarter, with Melissa Greeff

  08 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Melissa Greeff from Queen's University about autonomous navigation and learning for drones.

New understanding of insect flight points way to stable flapping-wing robots

  07 May 2026
The way bugs and birds flap their wings may look effortless, but the dynamics that keep them aloft are dizzyingly complex and difficult to quantify.

Robotically assembled building blocks could make construction more efficient and sustainable

  05 May 2026
Research suggests constructing a simple building from interlocking subunits should be mechanically feasible and have a much smaller carbon footprint.

Robot Talk Episode 154 – Visual navigation in insects and robots, with Andrew Philippides

  01 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Andrew Philippides from the University of Sussex about what we can learn from ants and bees to improve robot navigation.

Ultralightweight sonar plus AI lets tiny drones navigate like bats

  29 Apr 2026
Researchers develop ultrasound-based perception system inspired by bat echolocation.

Gradient-based planning for world models at longer horizons

  28 Apr 2026
What were the problems that motivated this project and what was the approach to address them?

Robot Talk Episode 153 – Origami-inspired robots, with Chenying Liu

  24 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Chenying Liu from University of Oxford about how a robot's physical form can actively contribute to sensing, processing, decision-making, and movement.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence