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path tracking中文是什么意思

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  • 例句与用法
  • A new path tracking control strategy for mobile robot
    一种新的移动机器人路径跟踪控制策略
  • Finally , a global path planning method in the sea current environment and path tracking algorithm in the simulating environmen are presented in this paper
    最后,本文提出了海流区域全局路径规划的方案,给出了仿真环境下的路径跟踪算法,进行了仿真。
  • The backstepping design idea and lyapunov stability theory is used for design the path tracking controller of the robot . the controller ’ s validity is tested by simulation and experiments
    利用backstepping设计思想和lyapunov稳定性原理设计控制器来实现路径跟踪,并且通过仿真和实验来验证方法的有效性。
  • The sense net system , which built up mainly with sonar sensors and photoelectric chromatic aberration sensors , can get the robot ' s surroundings information by fuzzy fusion technology . therefore the robot has rather effective abilities of path tracking and obstacle avoidance
    建立了以sonar和光电色差传感器为主的机器人感觉网络系统,对传感器信号利用模糊理论进行融合,得到环境信息,使机器人具有较强的路径跟踪和防撞避碰能力。
  • Finally , a new vr - based simulation system for robotic manipulators is developed , and intensive studies on the modeling of virtual enviroment of redundant robot arm based on opengl technology have been conducted , and motion planning approach of path tracking based on virtual model is developed , and the visualization of the motion planning process of the robotic manipulators is realized as well
    文章最后讨论和研究了一种新的基于虚拟现实的机器人仿真系统,重点研究了基于opengl的冗余度机器人机械臂仿真环境建模,开发了一种基于虚拟模型的用于跟踪作业的运动规划算法,实现了冗余度机器人运动规划过程的可视化。
  • Supported by the national natural science foundation of china ( nsfc ) 2 , the research topic of this paper has been focused on reinforcement learning and its applications in mobile robot navigation . one part of the main contents in this paper is the generalization methods for reinforcement learning in solving markov decision problems with continuous states and actions . another part of the main contents is the applications of reinforcement learning methods in the optimization of the path tracking controllers and the autonomous navigation controllers for mobile robots
    本文在国家自然科学基金项目“增强学习泛化方法研究及其在移动机器人导航中的应用”的资助下,以增强学习及其在移动机器人导航控制中的应用为研究内容,重点研究了增强学习在求解连续状态和行为空间markov决策问题时的泛化( generalization )方法,并针对移动机器人在未知环境中的自主导航和路径跟踪控制器的优化设计问题,研究了增强学习在上述领域中的应用。
  • Based on the above analysis , the research topic of this paper has been focused on 5 parts as follows : 1 ) the algorithms and theory of temporal difference learning ; 2 ) gradient learning algorithms for solving markov decision problems with continuous state or action space ; 3 ) hybrid learning methods for solving markov decision problems ; 4 ) the applications of reinforcement learning in the path tracking problems of mobile robots ; 5 ) reactive navigation methods based on reinforcement learning for mobile robots in unknown environments
    在此基础上,本文的研究工作主要从5个方面展开,即:时域差值学习算法和理论;求解马氏决策问题的梯度增强学习算法;求解马氏决策问题的进化-梯度混合学习算法;增强学习在移动机器人路径跟踪控制器优化中的应用;基于增强学习的移动机器人反应式导航控制。
  • Technology of imr is very comprehensive , and as far as its control field is concerned , its key technologies mainly include path planning , navigation and orientation , path tracking and vehicle - control technology . and the key technologies can also be made up of decision - layer technology and performance - layer technology
    它的研究领域更是包罗万象,就其控制领域而言,其关键技术可分为以下三项:路径规划、导航定位、路径跟踪与车体控制技术,或者分为决策层技术与执行层技术。
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Last modified time:Tue, 12 Aug 2025 00:29:56 GMT

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