Time Constrained Exploration Using Toposemantic Spatial Models: A Reproducible Approach

Citation Author(s):
Stefano
Carpin
University of California, Merced
Jose Luis
Susa Rincon
University of California, Merced
Submitted by:
Stefano Carpin
Last updated:
Thu, 02/13/2020 - 14:20
DOI:
10.21227/b564-4e03
Data Format:
License:
Creative Commons Attribution
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Abstract 

This VirtualBox image allows to reproduce the results presented in the paper "Time constrained exploration using toposemantic spatial models: a reproducbile approach" appeared in the September 2019 issue of the IEEE Robotics and Automation Magazine 10.1109/MRA.2019.2923452  

Instructions: 

See attached PDF file. Note that you ned to unzip the VirtualBox image once you download it.

Comments

I read the RAM article and decided to give it a go. Worked as advertised under MacOS.  Instructions were clear and accurate.  This data-port server is slow, it took many hours to download and the download dropped out a few times, needing manual intervention to resume.  IEEE login from this page is a pain using Safari, only way I could get it was using Chrome.  With Safari I'd get taken to authentication page, sign in, navigate back to dataport where I would be not logged in.  Also there is a really annoying survey popup, it first comes before you've had the chance to do anything much.

Submitted by Peter Ian Corke on Tue, 01/07/2020 - 20:04

Thanks for giving it a try. I'm glad you were able to re-run our code -- that was indeed the intent. As awareness about the important of R-research grows, I hope more systems will be put in place to share our findings. 

Submitted by Stefano Carpin on Thu, 02/13/2020 - 13:39

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Documentation

AttachmentSize
File User Guide Semantic ROS.pdf13.53 MB