A path planning method based on artificial potential field optimization is proposed.
本文提出一种基于人工势场优化的路径规划方法。
The artificial potential field(APF) is a common local path planning method for the mobile robot.
人工势场法是机器人局部路径规划常用的一种方法。
To reduce buffeting problem, inertial artificial potential field (IAPF) was introduced to smooth the basic route in bottom layer.
为减小人工势场的抖振问题，提出了一种惯性人工势场法（IAPF）， 并用 IAPF在底层中对基本路径进行平滑处理。
Among the methods which are used to research on this topic, artificial potential field method (APF) is applied most widely till now.
而在研究此问题的众多方法中，人工势场法是迄今为止应用最广泛的方法之一。
Based on the artificial potential field and genetic algorithms, a method of flight path planning for UAV in the threat network was proposed.
针对不同强度威胁源构成的飞行环境，提出了一种基于人工势场法和遗传算法相结合的无人机全局航路规划方法。
To solve the problem of the motion planning, a kind of improved artificial potential field method applied in the dynamic environment is proposed.
对于运动规划层，提出了一种用于动态环境下的改进的人工势场法。
The navigation technique of robot control using artificial potential fields is based on fuzzy logic and stability is guaranteed by Lyapunov theory.
利用人工势能场的机器人导航控制技术由模糊控制实现，系统的稳定性由李雅普·诺夫原理保证。
Under severe weather or flow constrained areas, a new rerouting path planning model based on artificial potential field algorithm (APFA) was proposed.
在恶劣天气或流量受限条件下，建立了基于人工势场算法的改航路径规划模型。
The first method is based on the artificial potential field. And the second one is suggested by Rapidly-exploring Random Tree (RRT) and rolling windows planning.
第一是基于人工势场的方法，第二是快速随机搜索树和滚动规划的结合方法。
The reinforcement learning is adopted to control and decision for AUV, and Q-learning, BP neural net, artificial potential is integrated to avoidance planning for AUV.
主要采用强化学习的方法对AUV进行控制和决策，综合Q学习算法、BP神经网络和人工势场法对AUV进行避碰规划。
In order to avoid the oscillating near obstacles in an artificial potential field method, this paper presents a method of mean filter to plan the shortest smooth path.
为了避免人工势场使机器人在障碍物附近产生震荡，采用均值滤波的方法，规划出一条平滑最优路径。
A formation keeping and heading consensus controller was designed for MAUVS formation control, referencing the artificial potential algorithm and phase consensus algorithm of coupled oscillators.
根据人工势场法和振子相位一致性算法，设计了多水下机器人队形保持和艏向一致的编队控制算法。
To overcome the drawbacks of the conventional artificial potential fields in motion planning of mobile robots for dynamic uncertain environments, an artificial coordinating field (ACF) is proposed.
为克服传统人工势场在动态未知环境下机器人避碰规划中存在的缺陷，提出人工协调场法(acf)。
To overcome the drawbacks of the conventional artificial potential fields in motion planning of mobile robots for dynamic uncertain environments, an artificial coordinating field (ACF) is proposed.
为克服传统人工势场在动态未知环境下机器人避碰规划中存在的缺陷，提出人工协调场法(acf)。
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