27 August 2014

GPS Data Reveal How Sheepdogs Herd Sheep

Scientists using GPS technology have figured out how sheepdogs efficiently herd sheep. This may help in developing robots that can perform similar activities and other applications.

They find that the dogs follow two basic instructions which allows them to tightly reign in the sheep and move them towards a single direction. The two instructions are to (1) collect the sheep when they are loose and (2) move them forward when they are gathered.

The scientists also attached gps devices on the sheep and the dog and observed how the movements of the animals appear on screen. They also built a computer model that simulates an efficient way of herding the sheep.

Surprisingly, the two models are similar.

This discovery can help in developing applications for use by robots in activities such as crowd control, cleaning up the environment, herding of livestock, keeping animals away from sensitive areas, and collecting or guiding groups of exploring robots.

Two Simple Rules

Sheepdogs use just two simple rules to round up large herds of sheep, scientists have discovered.

The findings could lead to the development of robots that can gather and herd livestock, crowd control techniques, or new methods to clean up the environment.

For the first time scientists used GPS technology to understand how sheepdogs do their jobs so well. Until now, they had no idea how the dogs manage to get so many unwilling sheep to move in the same direction.

NERC fellow, Dr Andrew King of Swansea University, fitted a flock of sheep and a sheepdog with backpacks containing extremely accurate GPS devices designed by colleagues at the Royal Veterinary College, London.

Daniel Strömbom of Uppsala University and colleagues then used data from these devices, together with computer simulations, to develop a mathematical shepherding model.

Video: Sheepdog Herding: GPS Data vs Computer Model

The team found that sheepdogs likely use just two simple rulesl: to collect the sheep when they're dispersed and drive them forward when they're aggregated. In the model, a single shepherd could herd a flock of more than 100 individuals using these two simple rules.

The research is published in the Journal of the Royal Society Interface.

'If you watch sheepdogs rounding up sheep, the dog weaves back and forth behind the flock in exactly the way that we see in the model,' says King.

'We had to think about what the dog could see to develop our model. It basically sees white, fluffy things in front of it. If the dog sees gaps between the sheep, or the gaps are getting bigger, the dog needs to bring them together,' he explains.

'At every time step in the model, the dog decides if the herd is cohesive enough or not. If not cohesive, it will make it cohesive, but if it's already cohesive the dog will push the herd towards the target,' says Strömbom.

'Other models don't appear to be able to herd really big groups – as soon as the number of individuals gets above 50 you start needing multiple shepherds or sheepdogs,' he says.

'There are numerous applications for this knowledge, such as crowd control, cleaning up the environment, herding of livestock, keeping animals away from sensitive areas, and collecting or guiding groups of exploring robots,' says King.


Natural Environment Research Council
Journal of the Royal Society Interface
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