Open AccessDevelopment of methods for training operators of manual manipulators
Author(s) -
V. A. Griazin,
А. В. Егоров,
А. V. Lysyannikov,
Yu F Kaizer,
V L Tyukanov,
R. B. Zhelukevich,
A.B. Fedorov,
J. S. Sharshembiev
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1515/2/022038
Subject(s) - operator (biology) , automation , computer science , process (computing) , work (physics) , control (management) , control theory (sociology) , manipulator (device) , control engineering , simulation , robot , artificial intelligence , engineering , mechanical engineering , biochemistry , chemistry , repressor , transcription factor , gene , operating system
Manipulators with manual control are widely used for moving objects, which is due to the complexity of the process automation and the risk of control errors. The effectiveness of work manipulator operators depends on the number of repetitions of the work cycle by the operator at the training stage and the psychoisiological characteristics of the operator that affect the speed of acquiring control skills. On the example of a hydraulic reloading manipulator, the optimal number of repetitions of working cycles by the operator is experimentally determined, in which the operator is able to provide the minimum time for carrying out the operations of grab, lifting and moving, lowering and placement the cargo.