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Dynamic motion planning for robot manipulators using B-splines.

机译:使用B样条曲线的机器人机械手的动态运动计划。

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Although the dynamic equations of motion of open-chained robot systems are well-known, they are seldom taken into account during the planning of motions. In this work, we show that the dynamics of a robot can be taken into account in motion planning. Two applications of dynamic motion planning are explored: (1) development of point-to-point weightlifting motions for open-chained robots; and (2) design of robotic gait rehabilitation. The governing optimal control problem is converted into a direct, SQP parameter optimization in which the gradient is determined analytically. The joint trajectories are defined by B-spline polynomials along with a time-scale factor. In the first application, a weightlifting motion planner is applied to a Puma 762 robot, with its physical limitations incorporated into the formulation. The problem is formulated as an optimal control problem for a fully actuated articulated chain. The torque limits are formulated as soft constraints added into 217, the objective function while the position and velocity limits are formulated as hard, linear inequality constraints, on the parameters. The solutions obtained with the motion planner extend the robot's payload capability while reducing the joint torques. Interestingly, nearly all the trajectories found pass through singular configurations, where large internal forces from the robot are applied to the payload and little torque is needed from the motors. In the second application, we examine a method to control the stepping motion of a paralyzed person suspended on a treadmill using a robot attached to the pelvis. A leg swing motion is created by moving the pelvis without contact with the legs. The problem is formulated as an optimal control problem for an underactuated articulated chain. Motion capture data recorded from an unimpaired human subject is compared to the simulation results from the dynamic motion optimization. Our results suggest that it is feasible to create a gait for a paralyzed person that is close to that of an unimpaired subject by controlling the pelvis with a robot. The resulting motions of the two applications can be found at the web sites “http://www.eng.uci.edu/∼chwang/project/puma762.html” and “http://www.eng.uci.edu/∼chwang/project/stepper/stepper.html”.
机译:尽管开链机器人系统的运动动力学方程是众所周知的,但在运动计划中却很少考虑它们。在这项工作中,我们表明在运动计划中可以考虑机器人的动力学。探索了动态运动计划的两种应用:(1)开发用于开放式链机器人的点对点举重运动; (2)机器人步态康复设计。控制性最佳控制问题被转换为直接的SQP参数优化,其中通过解析确定梯度。关节轨迹由B样条多项式以及时间比例因子定义。在第一个应用程序中,将举重运动计划器应用于Puma 762机器人,其物理限制已纳入配方中。该问题被公式化为全驱动铰接链的最佳控制问题。转矩极限被公式化为添加到目标函数217中的软约束,而位置和速度极限被公式化为对参数的硬线性不等式约束。使用运动计划器获得的解决方案在减小关节扭矩的同时扩展了机器人的有效载荷能力。有趣的是,几乎所有找到的轨迹都通过奇异的配置,其中来自机器人的较大内力被施加到有效载荷上,而电动机所需的扭矩很小。在第二个应用程序中,我们研究了一种使用连接到骨盆的机器人控制悬浮在跑步机上的瘫痪者的步进运动的方法。通过移动骨盆而不与腿接触,可产生腿部摆动运动。该问题被表述为欠驱动铰接链的最佳控制问题。将从未受损的人类对象记录的运动捕捉数据与动态运动优化的模拟结果进行比较。我们的结果表明,通过用机器人控制骨盆,为瘫痪的人创造接近无障碍者的步态是可行的。可以在网站“ http://www.eng.uci.edu/∼chwang/project/puma762.html”和“ http://www.eng.uci.edu/”上找到这两个应用程序的结果。 〜chwang / project / stepper / stepper.html”。

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