Brain-inspired IoT Controlled Walking Robot - Big-Foot

Abstract

This work presents the development of an original idea for a walking robot with a minimum number of motors, simple construction and a control system based on the brain bioelectrical activities. Described are geometric and kinematic dependencies related to the robot movement, as well as brain-inspired IoT control method. Various aspects are discussed for improving the robot's qualities, concerning the shape of the robot's feet and base in order to overcome various obstacles and maintain the static mechanical equilibrium. Improvements in the mechanical design are provided to improve reliability and enhance the scope of robot’s applications. A new IoT framework for creating Human-robot interaction applications based on Node-RED “wiring” of Emotiv Brain Computer Interface (BCI) and Arduino based robot is designed, developed and tested. An educational application how to train the joint attention of children by a mind control method based on neurofeedback from beta oscillation in the right temporoparietal region is illustrated in a Node-RED flow. The neurofeedback is exposed on the walking robot.