介绍了基于生物激励神经网络的移动机器人路径规划。
The biologically inspired neural networks based path planning approaches of mobile robot were introduced.
本文作者主要针对移动机器人路径规划及其相关的一些关键技术展开了研究。
The author mainly focuses on the study of the path planning of mobile robots and its relevant problems.
本文主要研究了多移动机器人协调系统中的多移动机器人路径规划算法与导航系统。
This paper addresses path planning algorithm and navigation systems for multiple mobile robots in multiple robots coordinated system.
解决了一般模糊控制器中“规则库爆炸”的问题，提高移动机器人路径规划算法的效率。
The problem "rules bomb" existing in the general fuzzy controllers has been solved, and it improved the efficiency of mobile robots path planning algorithm.
针对这些问题，一种新方法——蚁群元胞模型被提出，并将应用于移动机器人路径规划。
Aiming at these, a new model is presented that it is ant colony and cellular model.
针对基于遗传算法的移动机器人路径规划，本文提出了一种新的定长十进制路径编码机制。
For genetic algorithms based path planning of a mobile robot, a novel fixed-length decimal encoding mechanism for the paths of the mobile robot is proposed in this paper.
动态未知环境下的移动机器人路径规划必须基于多传感器信息融合来获得对环境的理解或映射。
Pathe planning of mobile robot must be based on multi-sensor information to attain the comprehending and mapping of environment.
在动态不确定环境下，本文提出了结合时间滚动窗口与人工蜂群算法的移动机器人路径规划方法。
In a dynamic uncertain environment, this paper presented a path planning method combined time rolling window and artificial bee colony algorithm for mobile robot.
在总结了移动机器人路径规划的主要研究方法的基础上，本文就路径规划问题开展了如下研究工作。
After researching on main methods about path planning, this paper provides the different method of plan planning.
针对移动机器人路径规划与导航的实际应用，设计了一个基于全景视觉的移动机器人路径规划导航系统。
For application development of path planning and navigation techniques for mobile robots, a navigation system based on omni vision is developed.
针对多目标不确定环境下移动机器人路径规划算法复杂的问题，提出了一种新的规划算法——混沌控制算法。
A new path planning algorithm, namely chaos control method, is introduced to solved the complexity of multi-target under uncertainty environment.
再次，根据移动机器人路径规划问题的特性，设计出一种新的基于竞选算法的移动机器人全局最优路径规划方法。
Thirdly, basing on characteristics of mobile robot path planning, we designs a kind of Election-survey Algorithm to solve global optimal result of mobile robot path planning.
实验结果证明：对基本蚁群算法的改进，提高了运算速度和鲁棒性，增强了蚁群算法在移动机器人路径规划中的适应能力。
The experiment results showed that improved algorithms 'operating speed and robustness is improved, adaptability of ant colony algorithms on mobile robot path planning is enhanced.
机器人运动环境的多变性和复杂性，决定了移动机器人路径规划问题是机器人领域一个研究重点，也是机器人实现智能化的关键技术。
For the diversity and complexity of the environment, path planning has being an important aspect in the mobile robotic research field and also a crucial technology to intelligentize the robot.
智能移动机器人技术涉及到机器人导航与定位，路径规划，运动控制等。
The technologies of intelligent mobile robots involve robot navigation and localization, path planning, motion control, etc.
因此，研究履带式移动机器人的智能控制具有重要的意义，而路径规划和跟踪控制是机器人研究中的关键技术。
Hence it has important sense to research intelligence control of tracked mobile robot, path planning and path tracking is key technology in robot research.
因此路径规划是移动机器人能否成功完成任务的重要前提和条件之一。
So path planning is one of the important precondition and condition whether mobile robot can finish the task successfully.
该系统的硬件和软件能够有效快速驱动移动机器人跟踪预定的路径以及完成运动规划。
The hardware and software of this system can drive effectively the mobile robot to track its preconcerted path and finish motion planning.
路径规划是移动机器人的重要研究课题之一，但过去的很多方法都存在一些不足。
Path planning is an important task in mobile robot research, but there are a few problems in some outmoded methods.
路径规划技术是虚拟装配技术、移动机器人技术研究中的一个重要领域。
Path planning technology is one of the important domains in virtual assembling technologies research and mobile robot technologies research.
同样，这些智能控制理论也能应用于移动机器人的路径规划。
Likewise, these intelligent control theories can also be applied to the path planning of the mobile robot.
基于Q强化学习与CMAC神经网络的移动机器人局部路径规划研究。
Research on local path planning of mobile robot based on Q reinforcement learning and CMAC neural networks.
针对室内移动机器人导航问题，提出一种包括全局规划层、局部路径优化层、反应式导航控制层的导航策略。
A strategy based on global planning layer, local path optimizing layer and reactive navigation controlling layer is presented for indoor mobile robot navigation.
因此，移动机器人系统涉及的关键技术包括多传感器数据集成与融合、环境建模、控制体系结构和路径规划以及学习机制等。
So main researches in the field of mobile robot are focus on multisensor integration and fusion, world model, control architecture, path planning and knowledge learning etc.
采用电路映射地图进行环境建模，在等效尺寸的基础上对带拖车移动机器人的路径规划进行研究。
This paper presents a path planner in the way of circuit map for the tractor-trailer robots on the basis of equivalent size.
移动机器人导航涉及到路径规划，传感器的选择及传感器信息的融合等技术。
Navigation of mobile robot involves path planning, sensor selection and multisensor fusion, etc.
本文提出了在不确定的环境中，移动机器人的一种全局路径规划算法。
This paper presents a global path-planning algorithm of mobile robot under uncertain environment.
单移动机器人的避障路径规划的研究包括静态障碍物的避障和动态障碍物的避障两部分。
The research of single mobile robot's path plan method for obstacle avoidance includes obstacle avoidance for static-obstacle and obstacle avoidance for dynamic-obstacle.
针对移动机器人的最速编队问题，结合路径规划和任务分解，提出一种分派问题的新解法和时间最优的编队策略。
A kind of time optimal formation strategy is proposed, which is based on path planning and task decomposition as well as an effective algorithm for assignment problem.
针对移动机器人的最速编队问题，结合路径规划和任务分解，提出一种分派问题的新解法和时间最优的编队策略。
A kind of time optimal formation strategy is proposed, which is based on path planning and task decomposition as well as an effective algorithm for assignment problem.
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