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The dynamic and kinematic constraints are taken into account when planning motion in the control subspaces.
Specifically, a method of planning motion for formations of mobile robots with non-holonomic constraints is presented.
Methodologies for planning motion trajectory of parametric interpolation such as non-uniform rational B-spline (NURBS) curves have been proposed in the past.
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The main stream of researches on the mobile robot is planning motions of the mobile robot under nonholonomic constraints.
Medical-grade EEG caps are used in research to eavesdrop on the brain as it plans motion and to translate these plans, for example, into cursor actions on a screen so paralyzed people can control a computer to write messages.
In the motion level, these planners plan motions to implement the primitives generated in the task level.
Our aim is to propose an analytical method to plan motions that can be robustly executed by feedback control.
This paper describes motion planning and motion execution for a mobile robot driven by two individually controlled stepping motors.
For each sequence, we perform motion planning in the motion level to manipulate the base object and to assemble the other object to the base.
The later part is an important problem which was never discussed by the assembly planning, grasp planning, and motion planning literature.
In the case of the global path planning for motion under certain maps, the computational time of that method becomes expensive when it is applied to high-level of the motion planning.
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