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In one case, a mobile manipulator is used for bridge crack inspection (Tung et al. 2002).
However, as stated above, the payload of a single mobile manipulator is low.
In this paper, mobile manipulator is divided into two subsystems, that is, nonholonomic mobile platform subsystem and holonomic manipulator subsystem.
Finally, simulation results show that the proposed robust adaptive tracking controller for nonholonomic mobile manipulator is effective and has good tracking capacity.
A mobile manipulator is a robotic system made up of two components; a mobile platform and a manipulator mounted on the platform equipped with non-deformable wheels.
In this work, the design of kinematic and dynamic parameters of links of a mobile manipulator is stated as a numerical optimization problem (NOP).
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But, this problem in flexible mobile manipulators is more complicated.
However, calibrating these mobile manipulators is difficult as the offset between the robotic manipulator and the AGV is often unknown.
Then, the problem of dynamic load carrying capacity on flexible mobile manipulators is converted into a trajectory optimization problem, which fundamentally is a constrained nonlinear optimization problem.
In this paper an image-based dynamic visual feedback control for mobile manipulators is presented to solve the target tracking problem in the 3D-workspace.
It is the authors' belief that this navigation and globally rigid formation control problem of n-link doubly nonholonomic mobile manipulators is treated for the first time with the use of continuous time-invariant control laws within the framework of LbCS and a variant of the leader follower scheme.
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