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This paper presents a strategy for real-time generation of formation trajectories using a leader follower approach.
This strategy differs from the standard approach of defining the desired distance vector in an inertial frame and can be used to obtain rich formation trajectories with varying curvatures between vehicles.
By imposing adequate constraints on the motion of the virtual vehicles, the generation of valid formation trajectories is naturally guaranteed, bypassing the demanding task of obtaining complete path descriptions.
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Simulation results illustrate that the designed controller can track three-dimensional formation trajectory accurately.
The first block, which is based on local distributed controllers, guarantees that the centroid of the three-dimensional formation asymptotically follows a desired path corresponding to the desired formation trajectory.
His work has focussed on a skeptical, peasant's-eye view of state formation; the trajectory of his interests can be traced in the titles of his books, from "The Moral Economy of the Peasant" to "The Art of Not Being Governed".
Two original contributions are put forward here: the trainable trajectory formation model that predicts articulatory trajectories of a talking face from phonetic input and the texture model that computes a texture for each 3D facial shape according to articulation.
Intuitively we can suppose that context-dependent HMM can easily cope with this constraint but we will show that adding a context-dependent phasing model helps the trajectory formation system to better fit observed trajectories.
An effective optimization approach using controlled regressive orbits are developed to design the three-satellite formation-flying trajectory for monitoring the beams of 18 GEO satellites.
Secondly, the optimal formation-flying trajectory is obtained to minimize the mission time by solving the established optimization model for maximizing the minimum monitoring profit of all GEO satellites.
The results presented in this paper show how the proposed method behaves with mobile robot formations and generates trajectories of good quality without problems of local minima when the formation encounters non-convex obstacles.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com