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In this paper we present a novel trajectory generation method for generalization of accurate movements with boundary conditions.
In this paper, an Optimal Trajectory Generation Algorithm (OTGA) is developed for generating minimum-time smooth motion trajectories for serial and parallel manipulators.
We show the relationship between VHIPM and other popular trajectory generation methods, and compare the ZMP errors in walking when trajectories are generated by various methods including VHIPM.
Differential flatness is employed for trajectory generation and control design.
This paper describes a computationally inexpensive, yet high performance trajectory generation algorithm for omnidirectional vehicles.
Reference trajectory generation plays a key role in the computer control of machine tools.
In those systems, the trajectory generation software may run in powerful microprocessors embedded in the FPGA.
In this paper, for trajectory generation, we suggest a performance index for redundancy resolution.
Trajectory generation and tracking control given in this paper lay the foundation for the FAST prototype.
Comparison results illustrated that OTGA is the better trajectory generation algorithm than the others.
A new trajectory generation method is proposed based on two neural networks.
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