Stochastic roadmap simulation
id:
stochastic-roadmap-simulation-294-5763099
title:
Stochastic roadmap simulation
text:
For robot control, Stochastic roadmap simulation is inspired by probabilistic roadmap methods (PRM) developed for robot motion planning. The main idea of these methods is to capture the connectivity of a geometrically complex high-dimensional space by constructing a graph of local paths connecting points randomly sampled from that space. A roadmap G = (V,E) is a directed graph. Each vertex v is a randomly sampled conformation in C. Each (directed) edge from vertex vi to vertex vj carries a weigh
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Stochastic_roadmap_simulation
date created:
date modified:
2022-12-14T04:17:19Z
main entity:
{"identifier":"Q7617834","url":"https://www.wikidata.org/entity/Q7617834"}
image:
fields total:
13
integrity:
13