Systematic Literature Review of Sampling Process in Rapidly-Exploring Random Trees

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Deformable Rapidly-Exploring Random Trees

In this paper, using the Hypercube Diagonal Experiment we first investigate the convergence rates of samplingbased path-planning algorithms in terms of the dimensionnality of the search space. We show that the probability of sampling a point that improves the solution decreases exponentially with the dimension of the problem. We then analyze how the samples can be repositioned in the search spa...

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Optimal Bidirectional Rapidly-Exploring Random Trees

In this paper we present a simple, computationally-efficient, two-tree variant of the RRT∗ algorithm along with several heuristics.

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Resolution Complete Rapidly-Exploring Random Trees

Trajectory design for high-dimensional systems with nonconvex constraints is a challenging problem considered in this paper. Classical dynamic programming is often employed, but can only find a global optimal solution for low-dimensional problems. Recently, randomized techniques were introduced into trajectory design with considerable success; however, their performance is not reliable when pro...

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Kinodynamic Region Rapidly-exploring Random Trees (KRRRTs)

Kinodynamic motion planning is the problem of finding a collision-free path for a robot under constraints e.g., velocities and accelerations. State of the art techniques rely on sampling-based planning which samples and connects configurations until a valid path is found. Many sampling-based planners have been developed for non-holonomic problems e.g., Kinodynamic Rapidly-exploring Random Trees...

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A Sampling Schema for Rapidly Exploring Random Trees using a Guiding Path

In this paper, a novel sampling schema for Rapidly Exploring Random Trees (RRT) is proposed to address the narrow passage issue. The introduced method employs a guiding path to steer the tree growth towards a given goal. The main idea of the proposed approach stands in a preference of the sampling of the configuration space C along a given guiding path instead of sampling of the whole space. Wh...

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ژورنال

عنوان ژورنال: IEEE Access

سال: 2019

ISSN: 2169-3536

DOI: 10.1109/access.2019.2908100