Pigeon eye movement study could improve autonomous drone navigation
A study on pigeon eye movement reveals that birds actively compensate for visual motion to resolve environmental details, challenging previous scientific assumptions.
Pigeon eye movement study could improve autonomous drone navigation
Homing pigeons do not keep their eyes fixed in place while flying, contrary to previous scientific assumptions. Instead, they utilize slow, subtle eye movements to collect more data about their environment, according to a study published July 6, 2026, in Current Biology.
The research was led by Dr. Doug Altshuler, a professor in the department of zoology at the University of British Columbia (UBC), and Dr. Anthony Lapsansky, who performed the study as a postdoctoral fellow at UBC. The findings suggest that birds do not simply let visual motion occur as they fly forward; they actively compensate for that motion with drifting eye movements.
Researchers believe this behavior allows pigeons to resolve finer details or identify specific features of their surroundings that assist in navigation. The study also observed a different behavior during the final stages of flight: pigeons turn both eyes inward when landing on a perch. This movement may enable stereopsis, which is the ability to judge depth by comparing different views from each eye. According to the researchers, this ability had previously been seen only in a few birds of prey.
To capture this data, Dr. Lapsansky utilized his experience as a former falconer to create custom gear for the birds. He sewed various sizes of falconry hoods to secure cameras to the pigeons' heads, paired with small backpacks for the necessary electronics.
The technical system deployed on the birds weighed 27 grams. Each kit consisted of:
- A modified commercial camera
- A miniature computer approximately half the size of a credit card
- A motion and orientation measurement unit
- Cables and electronics tape used to minimize static during flight
The experimental process involved a flock of about 16 pigeons. In each trial, two birds were fitted with the active camera and backpack systems, while half of the flock wore dummy packs. The birds were released on a familiar route, and Dr. Lapsansky followed them in his truck to retrieve the equipment and footage.
Dr. Altshuler noted that pigeons are an ideal research model because they are easy to train and work with. Their eyes, located on the sides of their heads, provide an almost panoramic view of the world. Furthermore, their instinct to fly home ensures the research animals are not lost.
The implications of these findings extend to the development of robotics. Most current drones and robots utilize a rigid camera system. In those systems, the visual motion captured by the lens informs the machine of its speed, direction, and potential obstacles.
But birds manage these tasks differently by moving their "cameras" to extract more information. "Essentially, things are more complicated than we assumed,"
The researchers suggest that because humans and birds share basic strategies for extracting visual information for movement, these animal-like strategies could be applied to technology. Incorporating similar eye-movement patterns into autonomous flying robots could make them more skilled at navigating complex environments and bring them closer to achieving true autonomous flight.
