首页> 外文会议>2015 IEEE International Conference on Technologies for Practical Robot Applications >Design of fast walking with one- versus two-at-a-time swing leg motions for RoboSimian
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Design of fast walking with one- versus two-at-a-time swing leg motions for RoboSimian

机译:RoboSimian一次一次与两次摆动腿动作快速行走的设计

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This paper presents two prototype fast walking gaits for the quadruped robot RoboSimian, along with experimental results for each. The first gait uses a statically stable one-at-a-time swing-leg crawl. The second gait uses a two-at-a-time swingleg motion, which requires deliberate planning of zero-moment point (ZMP) to balance the robot on a narrow support base. Of particular focus are the development of practical means to exploit the fact that RoboSimian has high-dimensionality, with seven actuators per limb, as a means of partially overcoming low joint velocity limits at each joint. For both gaits, we use an inverse kinematics (IK) table that has been designed to maximize the reachable workspace of each limb while minimizing joint velocities during end effector motions. Even with the simplification provided by use of IK solutions, there are still a wide range of variables left open in the design of each gait. We discuss these and present practical methodologies for parameterizing and subsequently deriving approximate time-optimal solutions for each gait type, subject to joint velocity limits of the robot and to real-world requirements for safety margins in maintaining adequate balance. Results show that careful choice of parameters for each of the gaits improves their respective walking speeds significantly. Finally, we compare the fastest achievable walking speeds of each gait and find they are nearly equivalent, given current performance limits of the robot.
机译:本文介绍了四足机器人RoboSimian的两个原型快速行走步态,以及每个机器人的实验结果。第一个步态使用一次静态稳定的摆动腿爬行。第二步态使用一次两次摆动腿的动作,这需要仔细计划零力矩点(ZMP),以在狭窄的支撑基座上平衡机器人。特别关注的是开发实用的方法,以利用RoboSimian具有高尺寸这一事实,即每肢有七个致动器,以此作为部分克服每个关节的低关节速度限制的方法。对于这两种步态,我们使用了反向运动学(IK)表,该表旨在将每个肢体可到达的工作空间最大化,同时将末端执行器运动期间的关节速度最小化。即使使用IK解决方案进行了简化,每种步态的设计中仍然存在许多变量。我们讨论了这些内容,并提出了实用的方法,用于参数化并随后得出每种步态类型的近似时间最佳解决方案,但要遵守机器人的关节速度限制以及实际世界中保持足够平衡的安全性要求。结果表明,仔细选择每个步态的参数可以显着提高其各自的步行速度。最后,我们比较了每个步态可达到的最快步行速度,发现在给定机器人当前性能限制的情况下,它们几乎相等。

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