- 6th Jul 2021
- Rosie Hattersley
- 5 comments
This is taste of the type of cool advanced projects that having AKIDA Raspberry Pi will cause to flourish in the academic research community.
My opinion and speculation only DYOR
FF
AKIDA BALLISTABluebot Shoal Fish Robot
If you loved the film Finding Dory, you might just enjoy the original story of these underwater robots, fresh out of the latest issue of The MagPi Magazine.
It’s no coincidence that the shoal of robot fish in this Raspberry Pi Zero W project look more than a little like Dory from Pixar’s movie. As with the film character, the Bluebot robot fish are based on the blue tang or surgeonfish. Unlike Dory, however, these robot fish are designed to be anything but loners. They behave collectively, which is the focus of the Blueswarm research project that began in 2016 at Harvard University.
The Blueswarm team designed a PCB and wrote custom Python code for their subterranean Raspberry Pi experiments
Florian Berlinger and his PhD research project colleagues Radhika Nagpal, Melvin Gauci, Jeff Dusek, and Paula Wulko set out to investigate the behaviour of a synchronised group of underwater robots and how groups of such robot fish are co‑ordinated by observing each other’s movements. In the wild, birds, fish, and some animals co-ordinate in this way when migrating, looking for food and as a means of detecting and collectively avoiding predators. Simulations of such swarm behaviour exist, but Blueswarm has the additional challenge of operating underwater. Raspberry Pi Zero W works well here because multiple Bluebot robots can be accessed remotely over a secure wireless connection, and Raspberry Pi Zero W is physically small and light enough to fit inside a palm-sized robot.
Mimicking movements
The team designed the fish-inspired, 3D-printed robot body as well as the fin-like actuators and the on-board printed circuit board which connects to all the electronics and communicates with Raspberry Pi Zero W. Designing the robot fish took the team four years, from working out how each robot fish would move and adding sensing capabilities, to refining the design and implementing collective behaviours, coded using Python 3.
The Blueswarm team designed a PCB and wrote custom Python code for their subterranean Raspberry Pi experiments
They used as many off-the-shelf electronics as possible to keep the robots simple, but adapted existing software algorithms for the purposes of their investigations, “with several clever twists on existing algorithms to make them run fast on Raspberry Pi,” adds Florian.
On-board cameras that offer “an amazing 360-degree field of view” are one of the project’s real triumphs. These cameras are connected to Raspberry Pi via a duplexer board (so two cameras can operate as one) the project team co-designed with Arducam. Each Raspberry Pi Zero W inside follows the camera images and instructs the fins to move accordingly. The team developed custom algorithms for synchronisation, flocking, milling, and search behaviours to simulate how real fish move individually and as a group. As a result, says Florian, “Blueswarm can be used to study inter-robot co-ordination in the laboratory and to learn more about collective intelligence in nature.” He suggests other robot-based projects could make use of a similar setup.
Imitation of life
Each robot fish cost around $250 and took approximately six hours to make. To make your own, you’d need a 3D printer, Raspberry Pi Zero W, a soldering station – and a suitably large tank for your robot shoal! Although the team hasn’t made the code available, the Blueswarm project paper has recently been published in Science Robotics and by the IEEE Robots and Automation Society. Several biology researchers have also been using the Bluebot shoal as ‘fish surrogates’ in their studies of swimming and schooling.
It may look cute, but Bluebot has a serious purpose
