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This method has the advantage that it always generates dynamically feasible trajectories for a maneuver.
Multi-vehicle motion planning (MVMP) refers to computing feasible trajectories for multiple vehicles.
A novel method is presented at this level for correcting the path and obtaining near-optimal and dynamically feasible trajectories.
In addition, we give a methodology for generating feasible trajectories using the fact that the system is differentially flat.
In the second layer, the Social Force Model (SFM) is modified and extended for mixed traffic to produce feasible trajectories.
To reduce the computation time during the motion planning process, dynamically feasible trajectories are generated in real-time through concatenation of pre-specified motion primitives.
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The problem studied here amounts to designing a feasible trajectory, defined for the end-effector of a flexible link robot.
The proposed guidance algorithm can generate a feasible trajectory at each guidance cycle during the entry flight.
A helpful adjustment process of time-to-landing is also introduced when the feasible trajectory does not exist.
This section presents a method to estimate a path for vehicle motion with the minimal cost of feasible trajectory based on the road network configuration.
Given a source position (s) and destination position (d), the path planning problem is to estimate a feasible trajectory (T) with the lowest cost for vehicles to travel.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com