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:
- DOI:
- 10.21227/b564-4e03
- Data Format:
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- Keywords:
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.
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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.
In reply to I read the RAM article and by Peter Ian Corke
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.