This code proposes genetic algorithm (GA) to optimize the point-to-point trajectory planning for a 3-link robot arm. The objective function for the proposed GA is to minimizing traveling time and space, while not exceeding a maximum pre-define

这个程序使用了遗传算法来优化点对点之间的轨迹度量。-This code proposes genetic algorithm (GA) to optimize the point-to-point trajectory planning for a 3-link (redundant) robot arm.

提出了一种新的模糊遗传算法(GA)的方法来解决问题的轨迹规划两个合作共享一个公共的机器人避障工作场所,在机械手必须考虑对方作为一个移动的轨迹或者行为障碍是未知的和不可预知的,因为每一个都有各自的目标和机械手都有相同的优先权。 -This paper presents a novel fuzzy genetic algorithm (GA) approach to tackling the problem of trajectory planning of two collaborat

In this paper a Conventional PD Controller and Fuzzy Neural Controller for trajectory tracking of mobile robot platform is presented. Using computed torque method is given input- torque on mobile robot wheels. The locomotion control structure is