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Active SLAM: A Review On Last Decade

Authors :
Ahmed, Muhammad Farhan
Masood, Khayyam
Fremont, Vincent
Fantoni, Isabelle
Source :
Sensors 2023, 23, 8097
Publication Year :
2022

Abstract

This article presents a comprehensive review of the Active Simultaneous Localization and Mapping (A-SLAM) research conducted over the past decade. It explores the formulation, applications, and methodologies employed in A-SLAM, particularly in trajectory generation and control-action selection, drawing on concepts from Information Theory (IT) and the Theory of Optimal Experimental Design (TOED). This review includes both qualitative and quantitative analyses of various approaches, deployment scenarios, configurations, path-planning methods, and utility functions within A-SLAM research. Furthermore, this article introduces a novel analysis of Active Collaborative SLAM (AC-SLAM), focusing on collaborative aspects within SLAM systems. It includes a thorough examination of collaborative parameters and approaches, supported by both qualitative and statistical assessments. This study also identifies limitations in the existing literature and suggests potential avenues for future research. This survey serves as a valuable resource for researchers seeking insights into A-SLAM methods and techniques, offering a current overview of A-SLAM formulation.<br />Comment: 34 pages, 8 figures, 6 tables

Subjects

Subjects :
Computer Science - Robotics

Details

Database :
arXiv
Journal :
Sensors 2023, 23, 8097
Publication Type :
Report
Accession number :
edsarx.2212.11654
Document Type :
Working Paper
Full Text :
https://doi.org/10.3390/s23198097