Festo uses eMotionButterflies to demonstrate the collective behavior of ultra-lightweight flying objects. The bionic butterflies illustrate complex topics from the world of future production such as functional integration, ultra-lightweight construction and above all real time-optimized networked communication between individual systems. The eMotionButterflies vividly demonstrate how the virtual and real worlds can grow together.
Flying is a recurring theme in the Bionic Learning Network. The developers channeled their knowledge gained from the projects on the BionicOpter and the eMotionSpheres into the bionic butterflies. They combine the ultralight construction of artificial insects with coordinated flying behaviour in a collective.
Coordinated flying thanks to indoor GPS
An external, well-networked guidance and monitoring system coordinates the individual flying objects autonomously and safely in three-dimensional space. The communication and sensor technology used constitutes an indoor GPS system that controls the butterflies’ collision-free collective movement. The combination of integrated electronics and external camera technology with a host computer ensures process stability. To emulate the flight behavior of their natural models as closely as possible, the artificial butterflies are fitted with integrated electronics. These control the wings precisely and individually to affect the rapid flight movements. A human pilot is not required to control the eMotionButterflies. Pre-programmed flight paths for the bionic butterflies’ manoeuvres are stored on the host computer. By means of additionally stored behaviour patterns, however, they can also fly autonomously. In this case, there is no direct communication between the eMotionButterflies.
The Bionic Learning Network
The Bionic Learning Network is an example of Festo’s commitment to technical education and training. In cooperation with students, renowned universities, institutes and development firms, Festo sponsors projects along with test and technology carriers. The aim is to make automated movement processes even more efficient and more productive with the help of bionics. The Bionic Learning Network demonstrates fascinating approaches to solving complex tasks.
For further information: www.festo.com/bionics