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Exact(15)
Firstly, an individual autonomous motion planning is presented, and the cooperative hunting behaviors are mathematically described.
Simulation results show that the velocity profile of the proposed motion planning is smoother.
Virtual constraints approach for motion planning is considered prior the controller design in order to achieve the control goal.
A strategy based on motion planning is proposed for airpath control of turbocharged diesel engines equipped with exhaust gas recirculation.
In addition, an approach to motion planning is devised which makes use of inverse singularities to obtain stiffer trajectories.
The effectiveness of the proposed approach for multi-robot motion planning is demonstrated with two case studies that considered the tasks with three and four robots.
Similar(45)
The results of aerodynamic analysis, parametric and structure disturbances estimation, nonlinear control algorithms, and neural network motion planning are presented.
Currently, cell design and motion planning are sequential and manual activities, managed by different and separate industrial functional units.
In addition, numerical experiments including an application to robot motion planning are provided to substantiate the efficacy and superiority of the proposed EDTZNN model for time-variant matrix inversion.
In respective fields, assembly planning and motion planning are well studied.
The effectiveness and efficiency of the presented Bi-RRT algorithm for climbing motion planning are verified by simulations.
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