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- W2050609927 abstract "Currently in robotics field, various new forms of robots are emerged that are different from existing robots. One of them is the mobile robot having a tensegrity structure. In this paper, the tensegrity is employed for a design of a mobile robot that can be used in irregular environment. But the tensegrity structure is highly nonlinear; so it is very difficult to control. In order to deal with this problem, iterative learning control (ILC) is applied in the tensegrity system. ILC is commonly used for nonlinear processes and shows a relatively good performance. This paper uses ILC for controlling the tensegrity system." @default.
- W2050609927 created "2016-06-24" @default.
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- W2050609927 date "2014-12-01" @default.
- W2050609927 modified "2023-10-02" @default.
- W2050609927 title "Iterative learning control for trajectory tracking of tensegrity robot" @default.
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- W2050609927 doi "https://doi.org/10.1109/icarcv.2014.7064594" @default.
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