Researchers Use Robotic Prey to Track Predator Behavior

The findings work to better inform understandings of predator behavior

Scarlett Evans, Assistant Editor, IoT World Today

July 4, 2022

1 Min Read

A new study from the University of Bristol used robots to investigate how predators react to unpredictable movements from prey – testing a long-held theory that erratic movements can help animals escape an aggressor. 

The team from Bristol’s School of Biological Sciences studied how blue acara cichlids responded to robotic prey that was programmed to move in certain patterns to escape, while monitoring the predators’ reaction to random versus predictable movements. 

“Using robotic prey allowed us to present individual predators with one of two prey escape strategies: ‘predictable’ prey which repeatedly escaped in the same direction from one interaction with the predator to the next, or ‘unpredictable’ prey which escaped in random directions,” said lead author Dr Andrew Szopa-Comley.

The results disproved the theory. Instead demonstrating how predators can adapt their movements to neutralize their preys’ random pathways, accelerating in the later stages of their hunt to compensate for time lost in assessing the bot’s movements. 

“Our results suggest that the predators in our study were able to overcome the potential downsides of facing prey which behave unpredictably,” said senior author Dr. Christos Ioannou. “From the prey’s point of view, this raises the question of whether unpredictable behavior is as widely beneficial as was originally thought.”

Results from the study were published in June in the science journal PNAS. 

About the Author(s)

Scarlett Evans

Assistant Editor, IoT World Today

Scarlett Evans is the assistant editor for IoT World Today, with a particular focus on robotics and smart city technologies. Scarlett has previous experience in minerals and resources with Mine Australia, Mine Technology and Power Technology. She joined Informa in April 2022.

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