A Neuro-Fuzzy Controller for Collaborative Applications in Robotics Using LabVIEW | Zendy

Hiram Pönce | Zendy; Dejanira Araiza-Illan | Zendy; Pedro Ponce | Zendy

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A Neuro-Fuzzy Controller for Collaborative Applications in Robotics Using LabVIEW

Author(s) -

Hiram Pönce,

Dejanira Araiza-Illan,

Pedro Ponce

Publication year - 2009

Publication title -

applied computational intelligence and soft computing

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.371

H-Index - 10

eISSN - 1687-9732

pISSN - 1687-9724

DOI - 10.1155/2009/657095

Subject(s) - computer science , controller (irrigation) , bluetooth , fuzzy logic , protocol (science) , robotics , artificial intelligence , robot , task (project management) , embedded system , wireless , real time computing , operating system , engineering , medicine , alternative medicine , systems engineering , pathology , agronomy , biology

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.

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