首页> 外文会议>Robotics and Biomimetics (ROBIO), 2009 >Smooth joint trajectory planning for humanoid robots based on B-splines
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Smooth joint trajectory planning for humanoid robots based on B-splines

机译:基于B样条的仿人机器人平滑关节轨迹规划

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To guarantee the walking stability of humanoid robots, a new joint trajectory planning method is proposed. First, to map the trajectory of task space into the trajectory of joint space, a numerical algorithm of inverse kinematics is used to obtain the time sequences of joint angle. In this algorithm, the return values calculated by forward kinematics are compared with the expected pose repeatedly until the error is less than the threshold value. Then seven-degree B-splines are exploited to generate smooth joint trajectories with continuous velocity, acceleration and jerk. By representing kinematics constraints of humanoid robot with control points of B-splines, the motion parameters of both endpoints of the trajectory can be set to desired values. Simulation results show that by using the proposed joint trajectory planning method, smooth trajectories with continuous jerk can be obtained and these trajectories can be used to generate stable walk motion.
机译:为了保证类人机器人的行走稳定性,提出了一种新的联合轨迹规划方法。首先,为了将任务空间的轨迹映射到关节空间的轨迹,使用了逆运动学的数值算法来获得关节角的时间序列。在此算法中,将正向运动学计算出的返回值与预期姿势重复进行比较,直到误差小于阈值为止。然后,利用七度B样条生成具有连续速度,加速度和冲击的平滑关节轨迹。通过用B样条曲线的控制点表示类人机器人的运动学约束,可以将轨迹的两个端点的运动参数设置为所需值。仿真结果表明,通过提出的联合轨迹规划方法,可以得到具有连续加速度的平滑轨迹,并且可以将这些轨迹用于产生稳定的步行运动。

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