Cyclic motions are fundamental patterns in robotic applications including industrial manipulation and legged robot locomotion. This paper proposes an approach for the online modulation of cyclic motions in robotic applications. For this purpose, we present an integrated programmable Central Pattern Generator (CPG) for the online generation of the reference joint trajectory of a robotic system out of a library of desired periodic motions. The reference trajectory is then followed by the lower-level controller of the robot. The proposed CPG generates a smooth reference joint trajectory convergence to the desired one while preserving the position and velocity joint limits of the robot. The integrated programmable CPG consists of one novel bounded output programmable oscillator. We design the programmable oscillator for encoding the desired multidimensional periodic trajectory as a stable limit cycle. We also use the state transformation method to ensure that the oscillator's output and its first-time derivative preserve the joint position and velocity limits of the robot. With the help of Lyapunov-based arguments, We prove that the proposed CPG provides the global stability and convergence of the desired trajectory. The effectiveness of the proposed integrated CPG for trajectory generation is shown in a passive rehabilitation scenario on the Kuka iiwa robot arm, and also in a walking simulation on a seven-link bipedal robot.
翻译:Cyclic运动是机器人应用中的基本模式,包括工业操纵和脚脚机器人动动动。本文件提出机器人应用中循环运动的在线调制方法。 为此,我们提出一个综合的可编程中央模式生成器(CPG),用于从一个需要定期运动的图书馆中在线生成机器人系统的参考联合轨迹。参考轨迹随后由机器人的下级控制器跟踪。拟议的CPG在保持机器人的位置和速度联合限制的同时,与所希望的轨迹相匹配,同时保持机器人的位置和速度联合界限。集成的CPG包含一个新颖的、有约束的输出程序模拟器。我们设计了一个可编程的中央模式生成器(CPG),用于将理想的多层面定期轨迹编码成一个稳定的极限循环。我们还使用州变法确保振动器的输出及其首次衍生物能维护机器人的联合位置和速度限制。在Lyapunwa的论据的帮助下,我们证明拟议的CPGG提供了一个全球稳定性、可编程式产出程序动动动动动动动动动脉迹。 CD的7号机动模拟机动机动机动机动机动机动的轨迹也展示了机械机动模型。