This article presents a novel review of Active SLAM (A-SLAM) research conducted in the last decade. We discuss the formulation, application, and methodology applied in A-SLAM for trajectory generation and control action selection using information theory based approaches. Our extensive qualitative and quantitative analysis highlights the approaches, scenarios, configurations, types of robots, sensor types, dataset usage, and path planning approaches of A-SLAM research. We conclude by presenting the limitations and proposing future research possibilities. We believe that this survey will be helpful to researchers in understanding the various methods and techniques applied to A-SLAM formulation.
翻译:本文对过去十年来积极SLAM(A-SLAM)的研究进行了新的回顾,我们讨论了A-SLAM(A-SLAM)在利用基于信息理论的方法进行轨迹生成和控制行动选择时所采用的拟订、应用和方法,我们的广泛定性和定量分析突出了A-SLAM研究的方法、设想、配置、机器人类型、传感器类型、数据集使用和路径规划方法,我们最后提出局限性并提出今后的研究可能性,我们认为,这项调查将有助于研究人员了解A-SLAM的拟订工作所采用的各种方法和技术。