论文标题
实时导航算法和自动驾驶汽车的控制
Algorithms of Real-Time Navigation and Control of Autonomous Unmanned Vehicles
论文作者
论文摘要
机器人技术的快速发展受益于越来越多的人关注它。由于对机器人的需求正在增长，目的是实现任务而不是人类，因此如何更好地控制机器人正在成为一个热门话题。为了避免障碍物，我们提出了针对2D平面环境和3D空间环境的算法。我们提出的示例案例是需要解决但一直被忽略的案例。此外，我们将努力付诸实践，用于机器人的轨迹计划。我们设定的两种情况是道路上的自动驾驶汽车，无人机的侦察和监视。对于将来的期望，有一些可能的方向。如何将传统导航算法和高科技算法结合在一起，以便在计算效率不太高的情况下完美地完成任务是一个值得的话题。此外，将避免障碍算法扩展到更具竞争力的情况。此外，多机器人之间的合作值得关注研究人员。总而言之，对于移动机器人的导航和控制，还有很长的路要走。尽管如此，我们相信我们不需要等待太久就可以看到机器人的革命。
The rapid development of robotics has benefited by more and more people putting their attention to it. With the demand for robots is growing for the purpose of fulfilling tasks instead of humans, how to control the robot better is becoming a hot topic. For obstacle avoidance, we proposed algorithms for both 2D planar environments and 3D space environments. The example cases we raise are those that need to be addressed but have always been ignored. In addition, we put efforts into trajectory planning for robots. The two scenarios we set are self-driving cars on the road and reconnaissance and surveillance of drones. For future expectations, there are some possible directions. How to combine traditional navigation algorithms and high-tech algorithms together so as to fulfill the tasks perfectly while the computational efficiency is not too high is a worthy topic. In addition, extending the obstacle avoidance algorithms to more competitive situations. Moreover, cooperation among multi robots are worth attention by researchers. All in all, there is still a long way to go for the development of navigation and control of mobile robots. Despite this, we believe we do not need to wait for too long time to see the revolution of robots.
