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Simulation results show the effectiveness and robustness of the proposed method for path following.
In this paper, optimal paths in environments with static and dynamic obstacles for a mobile robot (MR) are computed using a new method for path planning.
In this paper we outline an effective search algorithm for k-d trees that combines an optimal depth-first branch and bound (DFBB) strategy with a unique method for path ordering and pruning.
We outline an effective search algorithm for k-d trees that combines an optimal depth-first branch and bound (DFBB) strategy with a unique method for path ordering and pruning.
To address the difficulties caused by the lateral and longitudinal slippage, this paper proposes an improved linear active disturbance rejection control (LADRC) method for path tracking control of a six-wheeled corner steering rover.
The experimental results demonstrate robustness and effectiveness of the proposed method for path network estimation under large scenes of outdoor environments.
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The low computational cost makes this method ideal for path planning in dynamic environments.
A novel method for solving path and endpoint constrained dynamic optimization problems is proposed.
This work presents a sliding-mode method for robotic path conditioning.
The paper proposes a load function method for load path visualization and load flow calculation in plane elasticity problems.
The extension method for gas path balancing is analyzed and a new design rationale is developed to overcome deficiencies of the traditional component-based object modeling method.
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