In this paper the path planning of AUV is introduced.
阐述了智能水下机器人的路径规划方法。
Bring forward the new arithmetic of path planning.
并提出了本文的路径规划算法。
The method can fulfill the demands of path planning.
该方法能满足需求的路径规划。
Again, it is best to ask a career counselor for advice and assistance in planning your career path.
再次，最好是问一个职业顾问的咨询和援助规划您的职业道路。
This paper proposes a new LPN path planning method based on dynamic information model.
提出了一种新的基于动态信息模型的LPN路径规划算法。
The third part discuss path planning problem.
第三章讨论了路径规划的问题。
Collision detection algorithms play a very important role in the field of robot path planning.
在机器人路径规划中，碰撞检测算法占有十分重要的地位。
Artificial potential field (APF) is a common approach in all robot path planning approaches.
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。
A functional minimization model can be derived from a path planning.
路径规划可以描述为泛函极值模型。
The shortest path algorithm is an important content in research of intelligent vehicle path planning.
最短路径算法是智能车辆路径规划问题的核心内容。
Path planning belongs to the bottom planning problem.
轨迹规划属于机器人低层规划问题。
The path planning carried out by this index will give a minimum joint driving torque.
根据该指标所进行的轨迹规划可以获得最小的关节驱动力矩。
The final part proposes the local path planning of AGV under the dynamic unknown environment.
最后给出了动态复杂环境中AGV的路径规划。
Therefore, the path planning, as an important field in robot intelligence, appears particularly significant.
因此，作为机器人智能的一个重要因素——路径规划就显得尤为重要。
This paper presents a path planning algorithm for indoor environment.
本文提出一种针对室内环境的路径规划算法。
Path planning is the attribute of intelligence for mobile robot.
路径规划是移动机器人智能化的标志。
Robots path planning plays an important role in Robotics.
机器人路径规划在机器人学中起到重要作用。
So the mobile robot's path planning has important and practical meaning.
移动机器人在动态环境下的路径规划尤具现实意义。
Path planning is a key issue in intelligent robotics.
路径规划是智能机器人研究中的重要问题。
轨迹规划；
Here, the path planning includes both path generation and path following.
本文的路径规划问题包括路径生成和路径跟踪问题。
Optimal path planning is a key link for the sailing contest.
帆船最优行驶路径规划是帆船比赛取胜的关键环节。
Employ ant colony algorithm to path planning on robot.
应用蚁群算法对机器人进行路径规划。
The automatic path planning and motion control are key technology in the mobile robot research.
自主路径规划和运动控制技术是移动机器人研究中的关键技术。
Intelligent tactical flight path planning system is proposed by integrating situation assessment with path planning.
对态势评估与规划系统进行集成，提出了智能化战术飞行轨迹规划系统方案。
The algorithm has considerable value in the path planning research theoretically and practically.
对路径规划技术的研究具有重要的理论意义和应用参考价值。
Present the method of the path planning algorithm for the multiple mobile robots system;
提出一种适用于多移动机器人的路径规划算法；
Present the method of the path planning algorithm for the multiple mobile robots system;
提出一种适用于多移动机器人的路径规划算法；
应用推荐