@inproceedings{ced17b28902c472b9c039b1ed0618e64,
title = "AFR: An Efficient Buffering Algorithm for Cloud Robotic Systems",
abstract = "Communication between robots and the server is a major problem for cloud robotic systems. In this paper, we address the problem caused by data loss during such communications and propose an efficient buffering algorithm, called AFR, to solve the problem. We model the problem into an optimization problem to maximize the received Quantity of Information (QoI). Our AFR algorithm is formally proved to achieve near-optimal QoI, which has a lower bound that is a constant multiple of the unrealizable optimal QoI. We implement our AFR algorithm in ROS without changing the API for the applications. Our experiments on two cloud robot applications show that our AFR algorithm can efficiently and effectively reduce the impact of data loss. For the remote mapping application, the RMSE caused by data loss can be reduced by about 20%. For the remote tracking application, the probability of tracking failure caused by data loss can be reduced from about 40 %-60 % to under 10%. Meanwhile, our AFR algorithm introduces time overhead of under 10 microseconds.",
author = "Wang, {Yu Ping} and Wang, {Hao Ning} and Zou, {Zi Xin} and Dinesh Manocha",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022 ; Conference date: 23-10-2022 Through 27-10-2022",
year = "2022",
doi = "10.1109/IROS47612.2022.9981400",
language = "English",
series = "IEEE International Conference on Intelligent Robots and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6032--6039",
booktitle = "IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022",
address = "United States",
}