Title
Motion Planning in Uncertain Environments with Rapidly-Exploring Random Markov Decision Processes
Abstract
We propose rapidly-exploring random Markov decision processes (RRMDPs), a novel sampling-based motion planning approach for situations where the environment parameters are not fully known a priori, but a prior distribution over such parameters is available. Our algorithm combines ideas from established motion planning algorithms to achieve motion policies that are able to robustly drive the robot ...
Year
DOI
Venue
2021
10.1109/ECMR50962.2021.9568849
2021 European Conference on Mobile Robots (ECMR)
DocType
ISBN
Citations 
Conference
978-1-6654-1213-1
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Alex Rutherford100.34
Paul Duckworth2244.35
Nick Hawes300.34
Bruno Lacerda48512.96