Many-Joint Robot Arm Control with Recurrent Spiking Neural Networks
Manuel Traub,Robert Legenstein,Sebastian Otte,Manuel Traub,Robert Legenstein,Sebastian Otte
In the paper, we show how scalable, low-cost trunk-like robotic arms can be constructed using only basic 3D-printing equipment and simple electronics. The design is based on uniform, stackable joint modules with three degrees of freedom each. Moreover, we present an approach for controlling these robots with recurrent spiking neural networks. At first, a spiking forward model learns motor-pose cor...
