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移动机器人是一种能够在工作环境中自由移动并完成预定任务,具有自规划、自组织、自适应能力的机器人。在移动机器人的相关技术研究中,导航技术是其核心技术,也是其实现真正的智能化和完全自主的关键技术。移动机器人有多种导航方式,这些导航方式各有其特点,适合不同的应用环境。随着移动机器人的应用领域日益广泛,对移动机器人导航研究不断提出新的课题,这将使移动机器人的导航研究不断深入发展。本文着重介绍了人工势能场算法在移动机器人导航中的应用,并指出了其存在的不足和有待进一步研究的问题,提出了一些解决思路,最后展望了机器人智能导航的发展趋势。
Mobile robot is a kind of robot that can freely move in the working environment and complete the scheduled task, and has self-planning, self-organizing and self-adaptive ability. In the related research of mobile robot, navigation technology is its core technology, and it is also the key technology to realize true intelligence and complete autonomy. Mobile robots have a variety of navigation methods, these navigation methods have their own characteristics, suitable for different application environments. With the application field of mobile robot becoming more and more widespread, new research on mobile robot navigation is constantly put forward, which will make the mobile robot navigation research deepen. This article focuses on the application of artificial potential field algorithm in mobile robot navigation. It also points out its shortcomings and problems to be further studied. Some solutions are put forward. Finally, the development trend of robot intelligent navigation is forecasted.