Active SLAM: A Review On Last Decade
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Abstract (arXiv)
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.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 22 Dec 2022.
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Citing papers per year: 2024: 3; 2025: 1; 2026: 1.
5 papers.
- 2025Embodied AI: From LLMs to World Modelscited by 24
- 2024A Survey on Reinforcement Learning Applications in SLAMcited by 3
- 2026LIME: Learning Intent-aware Camera Motion from Egocentric Videocited by 2
- 2024Exploring the potential of collaborative UAV 3D mapping in Kenyan savanna for wildlife researchcited by 0
- 2024An Enhanced Hierarchical Planning Framework for Multi-Robot Autonomous Explorationcited by 0
- 2026LIME: Learning Intent-aware Camera Motion from Egocentric Video2 Jul 2026
- 2025Embodied AI: From LLMs to World Models24 Sep 2025
- 2024An Enhanced Hierarchical Planning Framework for Multi-Robot Autonomous Exploration25 Oct 2024
- 2024Exploring the potential of collaborative UAV 3D mapping in Kenyan savanna for wildlife research24 Sep 2024
- 2024A Survey on Reinforcement Learning Applications in SLAM26 Aug 2024