Active SLAM: A Review On Last Decade

December 22, 2022 ยท The Cartographer ยท ๐Ÿ› Italian National Conference on Sensors

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: Active SLAM: A Review On Last Decade"

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Authors Muhammad Farhan Ahmed, Khayyam Masood, Vincent Fremont, Isabelle Fantoni arXiv ID 2212.11654 Category cs.RO: Robotics Citations 63 Venue Italian National Conference on Sensors Last Checked 1 day ago
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.
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