SUMMARY
Scientists have successfully trained goldfish to operate a fish-operated vehicle (FOV), which is essentially a fish tank on wheels. The FOV utilizes a downward-looking camera to track the fish's position, while a fish-control algorithm running on a Raspberry Pi 3B+ directs the vehicle based on the fish's movements. A lidar sensor ensures safety by overriding the control algorithm if the FOV approaches walls within 20 cm in a 4x3 meter enclosure. This innovative experiment showcases the cognitive abilities of goldfish in navigating terrestrial environments.
PREREQUISITES
- Understanding of Raspberry Pi 3B+ hardware and programming
- Basic knowledge of lidar sensor technology
- Familiarity with fish behavior and training techniques
- Concepts of computer vision and tracking algorithms
NEXT STEPS
- Research Raspberry Pi 3B+ projects for robotics applications
- Learn about lidar sensor integration in mobile robotics
- Explore fish training methodologies and cognitive studies
- Investigate computer vision techniques for tracking moving objects
USEFUL FOR
This discussion is beneficial for robotics enthusiasts, animal behavior researchers, and anyone interested in innovative applications of technology in cognitive studies.