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University of Florida Develops Robotic Rabbits to Combat Invasive Pythons in Everglades

15:05, 21 July

Edited by: Olga Samsonova

The University of Florida (UF) has introduced an innovative approach to address the invasive Burmese python population in the Everglades. UF researchers have developed robotic rabbits designed to attract and help eliminate these snakes, which have been disrupting the Everglades ecosystem since the 1980s. This initiative underscores the application of technology in conservation efforts.

Professor Chris Dutton from UF's ecology department led the design of these robots, each equipped with electronic components powered by solar energy. The robotic rabbits are engineered to mimic the movements and body temperature of marsh rabbits, a primary prey for pythons. In July 2025, these robots were deployed across southern Florida, equipped with cameras to detect python movement. This project builds on over a decade of research, with previous studies indicating that pythons are attracted to live rabbits.

While the use of robotic decoys is a novel strategy, other technological methods, such as drones and artificial intelligence, have also been employed in wildlife monitoring. The application of robotics in this context offers new hope for the preservation of Florida's unique wildlife.

The Burmese python poses a significant threat to native species, preying on a wide variety of birds, mammals, and reptiles. Their presence has led to declines in populations of native animals, including marsh rabbits, raccoons, and opossums. Efforts to control the python population are ongoing, with various strategies being explored to mitigate their impact on the Everglades ecosystem.

This technological advancement reflects a continuous commitment to protect the Everglades ecosystem and restore the ecological balance affected by the python invasion. The use of robotics in conservation efforts represents a promising direction for addressing complex environmental challenges.

Sources

  • La Nacion

  • Reuters

  • U.S. Geological Survey

  • Axios

  • Axios

  • Time

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