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Adaptive gait for a quadruped robot on 3D path planning

机译:四足机器人在3D路径规划中的自适应步态

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摘要

A legged walking robot is able to not only move on irregular terrain but also change its posture. For example, the robot can pass under above head obstacles with crouching. The purpose of this research is to realize efficient path planning with a quadruped robot. Therefore, the path planning is expected to extended in three dimensions because of the mobility of the quadruped robot. Even tough these advantages, some issues of the quadruped robot that are instability and workspace limitation complicate realizing the application. Especially, a deadlock is serious problem because it causes the walk stop and less controllability. The deadlock is brought by concurrence of instability and workspace limitation. In order to improve the deadlock, we propose the new free gait pattern for a quadruped robot, called TFG (trajectory following gait). The TFG intends to obtain high controllability like a wheel robot without the deadlock. The TFG additionally allows changing posture, during the walk, which is one of merits of a walking robot. In this paper, experimental result shows that the TFG improves the problems of a quadruped robot and is valuable for three dimensional path planning.
机译:腿式步行机器人不仅可以在不规则的地形上移动,而且可以改变其姿势。例如,机器人可以蹲伏在头顶障碍物下方。这项研究的目的是通过四足机器人实现有效的路径规划。因此,由于四足机器人的移动性,路径规划有望在三个维度上扩展。即使具有这些优点,四足机器人的一些问题(如不稳定和工作空间限制)也使应用程序的实现变得复杂。特别是,死锁是一个严重的问题,因为它会导致步行停止并降低可控性。僵局是由不稳定和工作空间限制的并发引起的。为了改善僵局,我们为四足机器人提出了新的自由步态模式,称为TFG(步态后的轨迹)。 TFG旨在像轮式机器人一样获得高控制性,而不会出现死锁。 TFG还允许在行走过程中改变姿势,这是行走机器人的优点之一。在本文中,实验结果表明,TFG改善了四足机器人的问题,对于三维路径规划很有用。

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