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Quasi-static object manipulation by mobile robot: Optimal motion planning using GA

机译:移动机器人的准静态对象操纵:使用GA的最佳运动计划

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Quasi-static object manipulation using a wheeled mobile robot is studied. For a mobile robot, as a typical set-up for transportation of objects, dynamic grasp problem is defined. It is assumed that the robot moves along a straight path and carries an object on its upper surface and the object should not move relative to the robot (dynamic grasp problem). It is also assumed that the robot has limited wheel motors torque. It is shown that to preserve dynamic grasp between the object and the robot, acceleration of the robot has to remain in a specified range. A third order polynomial for position equation of the mobile robot is selected and dynamic grasp and torque conditions are sketched as a constraint on acceleration of the robot. An optimization problem is proposed to find the optimal motion of the robot. A genetic algorithm is proposed to solve the optimization problem. The solutions are validated by simulations in MSC-ADAMS and MATLAB in general case of the optimization problem and also in minimum time, maximum distance and minimum energy problems as special cases of the general problem.
机译:研究了使用轮式移动机器人的准静态物体操纵。对于移动机器人,定义了动态抓握问题作为一种典型的物体运输装置。假定机器人沿直线路径移动并在其上表面承载物体,并且该物体不应相对于机器人移动(动态抓握问题)。还假定机器人的车轮电机转矩有限。结果表明,为了保持对象与机器人之间的动态抓握,机器人的加速度必须保持在指定范围内。选择用于移动机器人的位置方程的三阶多项式,并绘制动态抓取和扭矩条件作为对机器人加速度的约束。提出了一个优化问题,以找到机器人的最佳运动。提出了一种遗传算法来解决优化问题。通过在MSC-ADAMS和MATLAB中进行仿真,可以在最优化问题的一般情况下,以及在最短时间,最大距离和最小能量问题(作为一般问题的特殊情况)下对解决方案进行验证。

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