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Real-time trajectory generation for dynamic systems with nonholonomic constraints using player/stage and NTG.

机译:使用播放器/舞台和NTG为具有非完整约束的动态系统实时生成轨迹。

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摘要

This thesis will present various methods of trajectory generation for various types of mobile robots. Then it will progress to evaluating Robot Operating Systems (ROS's) that can be used to control and simulate mobile robots, and it will explain why Player/Stage was chosen as the ROS for this thesis. It will then discuss Nonlinear Trajectory Generation as the main method for producing a path for mobile robots with dynamic and kinematic constraints. Finally, it will combine Player, Stage, and NTG into a system that produces a trajectory in real-time for a mobile robot and simulates a differential drive robot being driven from the initial state to the goal state in the presence of obstacles.;Experiments will include the following: Blobfinding for physical and simulated camera systems, position control of physical and simulated differential drive robots, wall following using simulated range sensors, trajectory generation for omnidirectional and differential drive robots, and a combination of blobfinding, position control, and trajectory generation. Each experiment was a success, to varying degrees. The culmination of the thesis will present a real-time trajectory generation and position control method for a differential drive robot in the presence of obstacles.
机译:本文将提出用于各种类型的移动机器人的各种轨迹生成方法。然后将继续评估可用于控制和模拟移动机器人的机器人操作系统(ROS's),并将解释为何选择Player / Stage作为本论文的ROS。然后,将讨论非线性轨迹生成作为为具有动态和运动学约束的移动机器人生成路径的主要方法。最后,它将Player,Stage和NTG组合到一个系统中,该系统为移动机器人实时生成轨迹,并在存在障碍物的情况下模拟差速驱动机器人从初始状态驱动到目标状态。将包括以下内容:物理和模拟摄像头系统的定位,物理和模拟差动驱动机器人的位置控制,使用模拟范围传感器的墙跟随,全向和差动驱动机器人的轨迹生成以及定位,位置控制和轨迹的组合代。每个实验在不同程度上都是成功的。本文的高潮部分将提出一种存在障碍物的差动驱动机器人的实时轨迹生成和位置控制方法。

著录项

  • 作者

    Frazier, Ryan.;

  • 作者单位

    University of Louisville.;

  • 授予单位 University of Louisville.;
  • 学科 Engineering Robotics.;Engineering Electronics and Electrical.
  • 学位 M.Eng.
  • 年度 2013
  • 页码 135 p.
  • 总页数 135
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:42:09

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