文件名称:4[1]
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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 collaborative robot manipulators sharing a common
workspace, where the manipulators have to consider each other
as a moving obstacle whose trajectory or behaviour is unknown
and unpredictable, as each manipulator has individual goals and
where both have the same priority.
-This paper presents a novel fuzzy genetic algorithm
(GA) approach to tackling the problem of trajectory planning
of two collaborative robot manipulators sharing a common
workspace, where the manipulators have to consider each other
as a moving obstacle whose trajectory or behaviour is unknown
and unpredictable, as each manipulator has individual goals and
where both have the same priority.
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4[1].pdf
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