The field of autonomous mobile robots has undergone dramatic advancements over the past decades. Despite achieving important milestones, several challenges are yet to be addressed. Aggregating the achievements of the robotic community as survey papers is vital to keep the track of current state-of-the-art and the challenges that must be tackled in the future. This paper tries to provide a comprehensive review of autonomous mobile robots covering topics such as sensor types, mobile robot platforms, simulation tools, path planning and following, sensor fusion methods, obstacle avoidance, and SLAM. The urge to present a survey paper is twofold. First, autonomous navigation field evolves fast so writing survey papers regularly is crucial to keep the research community well-aware of the current status of this field. Second, deep learning methods have revolutionized many fields including autonomous navigation. Therefore, it is necessary to give an appropriate treatment of the role of deep learning in autonomous navigation as well which is covered in this paper. Future works and research gaps will also be discussed.
翻译：在过去几十年里,自主移动机器人领域经历了巨大的进步。尽管取得了重要的里程碑,但若干挑战仍有待解决。将机器人社区的成就汇总起来,因为调查文件对于跟踪当前最新技术和今后必须应对的挑战至关重要。本文件试图对自主移动机器人领域进行全面审查,涵盖传感器类型、移动机器人平台、模拟工具、路径规划和跟踪、传感器聚合方法、障碍避免和SLM等专题。提交一份调查文件的迫切性是双重的。首先,自主导航领域发展迅速,因此定期撰写调查文件对于让研究界充分了解该领域的现状至关重要。第二,深层学习方法使包括自主导航在内的许多领域发生革命。因此,有必要适当处理自主导航中深层学习的作用以及本文所涵盖的作用。还将讨论未来的工程和研究差距。
相关内容
微信扫码咨询专知VIP会员