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Computed Torque Control (CTC) is an effective motion control strategy for robotic manipulator systems, which can ensure globally asymptotic stability.
In this paper, we proposed an effective motion guidance system equipped upon a robotic walking assistant to emulate the biological rhythm for the practical daily use.
Properly designed finite impulse response (FIR) filters can lead to an effective motion preconditioning method, suppressing drastically the excited vibrations over the entire excited frequency band.
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It is an efficient, brutally effective motion.
The kinematic interaction can be modeled by a transfer function, which can be used to modify a free-field ground motion so that an effective input motion for a soil-structure system can be obtained.
A simple and effective motion model for this particular task is the approximation of the predicted workspace occupancy of the human via a cylinder that encompasses the worker's arm as he or she completes the placing task, as this is the only part of the human the robot can reach.
More CTV-conformal treatments can nominally be achieved with treatment protocols such as gating [ 2], tracking [ 3], or breathing maneuvers [ 4, 5] all aiming at a reduction of the effective motion amplitude.
In this paper, we model an effective predicted motion vector (PMV) deviation metric to predict the relationship between SR and motion vector difference (MVD), according to the prediction differences of both temporal and spatial motions of neighboring blocks.
The remarkable amount of 46.6% of the total energy input reaches the motor axle for effective motion and a fuel economy of 6.7 kg H2/100 km was achieved.
The effective motion between the two contacting bodies is monitored in each of the tribometers.
However, as the proposed method refines MVs based on reliability, more effective motion estimation can be performed.
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