A neuro-fuzzy controller was designed and implemented using LabVIEW over a mobile robotic platform. The controller is based on fuzzy clusters, neural networks, and search techniques. Also, wireless communication with Bluetooth protocol was used to communicate the robot with the controller running in LabVIEW, allowing a simple collaborative task that consisted in pick and place objects, through knowing the position of the robot and measuring the distance to the objects. The neuro-fuzzy controller was split in two parts: the position controller and the evasion controller against collisions.
Article originally published in ‘Applied Computational Intelligence and Soft Computin’, V.1(2009). ©2009 Hiram E. Ponce et al. Distributed under the Creative Commons Attribution Licence. //www.hindawi.com/journals/acisc/2009/657095.html