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A vision-based servomechanism is proposed to solve the path planning problem.
Motivated by these studies, we use relay networks to solve the path loss problem in the long distance transmission.
We will in this section show how this approach can be used to solve the path following control problem of snake robots.
In this paper, the authors describe a novel technique based on continuous genetic algorithms (CGAs) to solve the path generation problem for robot manipulators.
The experimental results show that a path following control approach which has previously been proposed for USRs without tail fin, can be directly applied to solve the path following control problem of this bioinspired USR with a passive caudal fin.
In this study, a nonlinear robust control strategy designed for underactuated mechanical systems is proposed in order to solve the path tracking problem for a quadrotor unmanned aerial vehicle.
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A heuristic approach based on the genetic algorithm and tabu search is developed to solve the path-based formulation.
This exchange gives more information to the robots, making easier to solve the path-planning in this case.
Rapidly-exploring Random Trees (RRTs) are also widely used, especially for solving the path problem for nonholonomic vehicles in broader scenarios.
Finally, it is necessary to mention that as different physical, psychological and social issues are usually influence the decision of the walker for path selection, the combination of these parameters may lead to different solutions in solving the path selection problem at different time periods, different locations and different cultures and societies.
Then, we describe an algorithm, ReTrace, for solving the path finding problem.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com