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It can be applied to any mechatronic system which is required to design a minimum-energy point to point trajectory.
The first example is a simulation of an exothermic batch reactor where the algorithm is used for set point trajectory tracking and calorimetric estimation.
From the foot point trajectory, the step length is shown to vary linearly while step height varies non-linearly with change in crank radius.
Different from system stability around a single equilibrium point, trajectory stability guarantees the system is stable around a time varying reference trajectory.
By describing the 3D point trajectory linearly using object independent discrete cosine transform (DCT) vectors, unknowns in estimation are reduced, and stable reconstruction is achieved as a result.
The assembly is defined, and knowing the payload and the end point trajectory, the velocities and accelerations of the parts, joint forces and driving torques are calculated using the rigid body dynamics.
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Design variables are identified and issues of generating optimal coupler point trajectories are discussed.
This paper is about detecting bipedal motion in video sequences by using point trajectories in a framework of classification.
For this problem, we propose a new method for segmenting feature point trajectories without assuming the number of objects.
Motion segmentation approaches like [53, 54] sparsely segment point trajectories based on the geometric coherency of the motion.
In this paper, we propose a new method for segmenting feature point trajectories without assuming the number of objects.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com