Title :
A research on autonomous position method for mobile robot manipulator based on fusion feature
Author :
Mingfang Du ; Junzheng Wang ; Lipeng Wang ; Haiqing Cao ; Jianjun Fang ; Zongyu Gao ; Ji Lv ; Shide Zhang
Author_Institution :
Coll. of Autom., Beijing Inst. of Technol., Beijing, China
Abstract :
The cooperative work process and the automation work flow of the no man keeping watch library which takes the robot as its center and uses the internet of things technology are firstly introduced in this paper. A new data format of the RFID electronic label for books is designed, and the robustness of positioning of the manipulator is improved by the information fusion of the RFID label source and the CCD sensor source installed on the manipulator. A position method named THREE STEPS by the combination of fuzzy position, area position and accurate position is advanced, and the complex books positioning and grasping question is transformed into the world coordinate solving question of some point on the objective book. The fuzzy CMAC (cerebella model articulation controller) neuron network is adapted to realize the non-line relationship of fusion feature and manipulator position. And direct vision servo control architecture is used when designing the manipulator position system. The experiment result has proved this method can help the manipulator realize the accurate position and rapid catching.
Keywords :
Internet of Things; cerebellar model arithmetic computers; fuzzy control; library automation; manipulators; mobile robots; neurocontrollers; position control; sensor fusion; servomechanisms; CCD sensor source; Internet of things technology; RFID electronic label; THREE STEPS; accurate position; area position; automation work flow; autonomous position method; cerebella model articulation controller; cooperative work process; direct vision servo control architecture; fusion feature; fuzzy CMAC; fuzzy position; information fusion; library robot; manipulator position system; mobile robot manipulator; neuron network; unmanned library system; Cameras; Libraries; Manipulators; Radiofrequency identification; Robot kinematics; Vectors; Autonomous mobile robot; Feature Fusion; Fuzzy CMAC; Machine vision; RFID;
Conference_Titel :
Mechatronics and Automation (ICMA), 2013 IEEE International Conference on
Conference_Location :
Takamatsu
Print_ISBN :
978-1-4673-5557-5
DOI :
10.1109/ICMA.2013.6618126