New Approach to Planning the Complex Movements of 6-DOF Industrial Robot Subjected to Acceleration Constraints

Grzegorz Pająk
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Abstract

A method of trajectory planning with regards to joint velocity and acceleration constraints for industrial 6DOF manipulator is presented. The task of the robot is to move to specified location in the workspace passing through intermediate waypoints. The proposed algorithm can be used to plan the task of the robot by autonomous systems in smart factories eliminating human participation in the robot programing process. Opposite to similar approaches it does not assume the type of function describing the motion of the robot. The trajectories generated using the proposed approach are smooth and provide smooth velocities and continuous joint accelerations. The motion is planned in such a way to fulfill joint velocity and acceleration constraints. Fulfillment of velocity limitations is accomplished by perturbing the manipulator motion close to velocity limits. To satisfy acceleration constraints a trajectory scaling approach carried out in limited periods of time is used. The results of the research are illustrated by simulations and experiments, in which an analysis of the method of performing robot tasks carried out using built-in algorithms and presented methods are performed.
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规划受加速度约束的 6-DOF 工业机器人复杂运动的新方法
本文介绍了一种针对工业 6DOF 机械手的关节速度和加速度约束的轨迹规划方法。机械手的任务是移动到工作空间中的指定位置,途中经过中间航点。所提出的算法可用于智能工厂中自主系统对机器人任务的规划,无需人类参与机器人编程过程。与类似方法不同的是,它不假定描述机器人运动的函数类型。使用所提出的方法生成的轨迹是平滑的,能提供平滑的速度和连续的关节加速度。运动规划的方式是满足关节速度和加速度限制。通过对接近速度极限的机械手运动进行扰动来实现速度限制。为了满足加速度限制,采用了在有限时间内进行轨迹缩放的方法。研究结果通过模拟和实验进行了说明,其中分析了使用内置算法和介绍的方法执行机器人任务的方法。
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