A study of approximation in a collaborative multi-agent system

被引：0

作者：

Barua, Hrishav Bakul ^{[1
]}

Paul, Himadri Sekhar ^{[1
]}

Sarkar, Chayan ^{[1
]}

Banerjee, Ansuman ^{[2
]}

机构：

[1] TCS Res & Innovat, Kolkata, India

[2] Indian Stat Inst, Kolkata, India

来源：

PROCEEDINGS OF THE 21ST INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING AND NETWORKING (ICDCN 2020) | 2020年

关键词：

collaborative slam; multi-agent system; approximate computing; SLAM;

D O I：

10.1145/3369740.3373015

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The effect of approximation has been well studied in stand-alone systems. However, the problem of approximation in a collaborative system has not been studied, to the best of our knowledge. The basic goal of this article is to study the applicability of approximation in collaborative SLAM (simultaneous localization and mapping). Our experiments suggest that it is not trivial to combine multiple standalone approximate results to achieve a collaborative approximation, i.e., the resultant error can not be bounded without special effort. Thus, we present a model of the problem and empirically show that such a model can be used to explain the error variance in a collaborative system.

引用

页数：4

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