Annotated Papers¶

I read a few research papers and articles now and then. For which I often annotate the documents and I would like to share it to anyone who might need a pre-annotated paper.

Meal Simulation Model of the Glucose-Insulin System¶

Link: here

@ARTICLE{4303268,
author={Dalla Man, Chiara and Rizza, Robert A. and Cobelli, Claudio},
journal={IEEE Transactions on Biomedical Engineering},
title={Meal Simulation Model of the Glucose-Insulin System},
year={2007},
volume={54},
number={10},
pages={1740-1749},
doi={10.1109/TBME.2007.893506}}

Swarm-SLAM: Sparse Decentralized Collaborative Simultaneous Localization and Mapping Framework¶

Link: here

@article{Lajoie_2024,
title={Swarm-SLAM: Sparse Decentralized Collaborative Simultaneous Localization and Mapping Framework for Multi-Robot Systems},
volume={9},
ISSN={2377-3774},
url={http://dx.doi.org/10.1109/LRA.2023.3333742},
DOI={10.1109/lra.2023.3333742},
number={1},
journal={IEEE Robotics and Automation Letters},
publisher={Institute of Electrical and Electronics Engineers (IEEE)},
author={Lajoie, Pierre-Yves and Beltrame, Giovanni},
year={2024},
month=jan, pages={475–482}}

Swarm SLAM: Challenges and Perspectives¶

Link: here

@ARTICLE{10.3389/frobt.2021.618268,
AUTHOR={Kegeleirs, Miquel and Grisetti, Giorgio and Birattari, Mauro},
TITLE={Swarm SLAM: Challenges and Perspectives},
JOURNAL={Frontiers in Robotics and AI},
VOLUME={8},
YEAR={2021},
URL={https://www.frontiersin.org/articles/10.3389/frobt.2021.618268},
DOI={10.3389/frobt.2021.618268},
ISSN={2296-9144}}

SLAM and Map Merging¶

Link: here

@article{leon2009slam,
title={SLAM and map merging},
author={Le{\'o}n, A and Barea, Rafael and Bergasa, Luis M and L{\'o}pez, Elena and Oca{\~n}a, Manuel and Schleicher, David},
journal={Journal of Physical Agents},
volume={3},
number={1},
pages={13--23},
year={2009}
}

A Fast Map Merging Algorithm in the Field of Multirobot SLAM¶

Link: here

@Article{169635,
AUTHOR = {Yanli Liu, Xiaoping Fan, Heng Zhang},
TITLE = {A Fast Map Merging Algorithm in the Field of Multirobot SLAM},
JOURNAL = {The Scientific World Journal},
VOLUME = {2013},
YEAR = {2013},
ARTICLE-NUMBER = {169635},
URL = {https://doi.org/10.1155/2013/169635},
ABSTRACT = {In recent years, the research on single-robot simultaneous localization and mapping (SLAM) has made a great success. However, multirobot SLAM faces many challenging problems, including unknown robot poses, unshared map, and unstable communication. In this paper, a map merging algorithm based on virtual robot motion is proposed for multi-robot SLAM. The thinning algorithm is used to construct the skeleton of the grid map’s empty area, and a mobile robot is simulated in one map. The simulated data is used as information sources in the other map to do partial map Monte Carlo localization; if localization succeeds, the relative pose hypotheses between the two maps can be computed easily. We verify these hypotheses using the rendezvous technique and use them as initial values to optimize the estimation by a heuristic random search algorithm.},
DOI = {10.1155/169635}
}