机器人路径规划在机器人学中起到重要作用。
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.
在机器人路径规划中，碰撞检测算法占有十分重要的地位。
Collision detection algorithms play a very important role in the field of robot path planning.
人工势场法和遗传算法是移动机器人路径规划中最常用的方法。
Artificial potential field (APF) is a common approach in all robot path planning approaches.
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.
SCARA型装配机器人的全局路径规划是一种典型的机器人路径规划问题。
The overall route planning problem of SCARA type assemble robot is a kind of typical robot route planning problem.
扫掠体的研究在机械制造、碰撞检测以及机器人路径规划等方面具有重要的意义。
Solid swept volume has been investigated due to its importance to mechanic manufacture, collision detection and robot path planning.
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.
接着重点探讨了结合免疫进化和协同进化算法的单机器人和多机器人路径规划问题。
Afterwards, a new robot path planning method and a new multi-robots path planning method proposed by author and integrated by the virtue of immune operation and coevolutionary.
本文描述了机器人路径规划的一种新方法：基于转移费用矩阵的机器人路径规划方法。
This paper describes a new approach to robot path planning:the transition cost matrix based approach.
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.
以往的双足机器人路径规划控制策略只能解决静止或以可预测速度运动的障碍物的越障问题。
The previous control strategy that has been adopted to solve the path planning problem of biped robot can only handle the static or predictable obstacle avoiding problems.
本课题以移动服务机器人为背景，对移动服务机器人路径规划问题进行深入研究和实验验证。
This paper based on domestic services robot, does a lot of work deeply in detail and the experimental verification to route planning of domestic services robot.
本文通过对多机器人编队问题的研究，从协调和协作两个方面来研究多机器人路径规划问题。
Through the study of formation control of multi-robots, this thesis studies the problem of multiple mobile robots path planning from two aspects of coordination and cooperation.
为此，本论文针对智能机器人的环境探测任务，提出了基于环境探测的多机器人路径规划算法。
Therefore, for the task of environment exploration of intelligent robot, path-planning arithmetic of multi-robot for environment exploration is presented.
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.
对运动物体进行光学跟踪及轨迹预测，在飞行器导航、机器人路径规划等方面一直是个研究热点。
The research of motion optical tracking and prediction is important for many fields, such as aerocraft navigation, robot path planning and so on.
物体间距离的计算在布局问题、动态系统模拟、机器人路径规划及干涉检验等领域具有重要意义。
It is important to compute the distance between objects in some fields such as packing problems, dynamic simulation systems, path planning of robots and collision detection.
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.
有关碰撞检测问题的研究源于1970年，可广泛应用于机器人路径规划、自动装配规划等领域。
The technique of collision detection has been widely applied to many fields, such as robotic path planning, automatic assembly planning since 1970s.
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.
本文提出了一种解决多机器人路径规划与协调问题的新方法：基于总体势减小的优先级动态调度策略。
The paper presents a new approach, which is called dynamic priority scheduling based on total potential reduction, to solving the multi robot path planning and coordination problem.
在海洋环境中水下机器人路径规划具有规划范围广阔、障碍物相对稀疏、海流的影响不可避免的特点。
The characteristics of the underwater vehicle's path planning in the ocean environment are as follows: broad planning range, relatively sparse obstacles, and inevitable impact of the ocean currents.
本文借鉴预测控制滚动优化原理，研究了全局环境未知且存在动态障碍物情况下的机器人路径规划问题。
Using the rolling optimization concept adopted in predictive control, robot path planning in global unknown environment with moving obstacles is studied.
本文借鉴预测控制滚动优化原理，研究了全局环境未知且存在动态障碍物情况下的机器人路径规划问题。
Using the rolling optimization concept adopted in predictive control, robot path planning in global unknown environment with moving obstacles is studied.
应用推荐