Robohub.org
 

‘Green Brain’ aims to build robot bees


by
02 October 2012



share this:

Researchers at the University of Sheffield and Sussex are trying to build an artificial honey bee brain. Called ‘Green Brain’, this project aims to simulate insect sensory systems, primarily seeing and smelling, and offers many benefits particularly in the areas of agricultural robots, or even search and rescue.

As featured today on BBC news

Honey bees are well known for their unerring ability to find their way back to a colony or hive. They are believed to use the position of the sun as a reference point and can compensate for its movement across the sky when calculating the route they need to return home.

“Because the honey bee brain is smaller and more accessible than any vertebrate brain, we hope to eventually be able to produce an accurate and complete model that we can test within a flying robot,” said Dr Marshall.

Dr James Marshall, leading the £1 million EPSRC1 funded project in Sheffield, said: “The development of an artificial brain is one of the greatest challenges in Artificial Intelligence. So far, researchers have typically studied brains such as those of rats, monkeys, and humans, but actually ‘simpler’ organisms such as social insects have surprisingly advanced cognitive abilities.”

Called “Green Brain”, and partially supported with hardware donated by NVIDIA Corporation, the project invites comparison with the IBM-sponsored Blue Brain initiative, which is developing brain modeling technologies using supercomputers with the ultimate goal of producing an accurate model of a human brain.

The hardware provided by NVIDIA is based on high-performance processors called “GPU accelerators” that generate the 3D graphics on home PCs and games consoles and power some of the world’s highest-performance supercomputers. These accelerators provide a very efficient way of performing the massive calculations needed to simulate a brain using a standard desktop PC – rather than on a large, expensive supercomputing cluster.

“Using NVIDIA’s massively parallel GPU accelerators for brain models is an important goal of the project as they allow us to build faster models than ever before,” explained Dr Thomas Nowotny, the leader of the Sussex team. “We expect that in many areas of science this technology will eventually replace the classic supercomputers we use today.”

Green Brain’s researchers anticipate that developing a model of a honey bee brain will offer a more accessible method of driving forward our knowledge of how a brain’s cognitive systems work, leading to advances in understanding animal and human cognition. “Because the honey bee brain is smaller and more accessible than any vertebrate brain, we hope to eventually be able to produce an accurate and complete model that we can test within a flying robot,” said Dr Marshall.

For full release from the University of Sheffield




Andra Keay is the Managing Director of Silicon Valley Robotics, founder of Women in Robotics and is a mentor, investor and advisor to startups, accelerators and think tanks, with a strong interest in commercializing socially positive robotics and AI.
Andra Keay is the Managing Director of Silicon Valley Robotics, founder of Women in Robotics and is a mentor, investor and advisor to startups, accelerators and think tanks, with a strong interest in commercializing socially positive robotics and AI.





Related posts :



Robot Talk Episode 131 – Empowering game-changing robotics research, with Edith-Clare Hall

  31 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Edith-Clare Hall from the Advanced Research and Invention Agency about accelerating scientific and technological breakthroughs.

A flexible lens controlled by light-activated artificial muscles promises to let soft machines see

  30 Oct 2025
Researchers have designed an adaptive lens made of soft, light-responsive, tissue-like materials.

Social media round-up from #IROS2025

  27 Oct 2025
Take a look at what participants got up to at the IEEE/RSJ International Conference on Intelligent Robots and Systems.

Using generative AI to diversify virtual training grounds for robots

  24 Oct 2025
New tool from MIT CSAIL creates realistic virtual kitchens and living rooms where simulated robots can interact with models of real-world objects, scaling up training data for robot foundation models.

Robot Talk Episode 130 – Robots learning from humans, with Chad Jenkins

  24 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Chad Jenkins from University of Michigan about how robots can learn from people and assist us in our daily lives.

Robot Talk at the Smart City Robotics Competition

  22 Oct 2025
In a special bonus episode of the podcast, Claire chatted to competitors, exhibitors, and attendees at the Smart City Robotics Competition in Milton Keynes.

Robot Talk Episode 129 – Automating museum experiments, with Yuen Ting Chan

  17 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Yuen Ting Chan from Natural History Museum about using robots to automate molecular biology experiments.

What’s coming up at #IROS2025?

  15 Oct 2025
Find out what the International Conference on Intelligent Robots and Systems has in store.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


 












©2025.05 - Association for the Understanding of Artificial Intelligence