基于自身运动学的NAO类人机器人运动规划

Walaa Gouda, W. Gomaa
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引用次数: 5

摘要

本文提出了一种仅使用板载传感的仿人机器人全身运动规划方法。在复杂的室内环境中,可靠、准确的人形机器人运动序列是机器人完成高水平任务的前提。复杂动态运动的设计只能通过机器人运动学来实现,这是几何在任意机器人链研究中的应用。介绍了一系列避开障碍物的动作,包括跨越动作,以及上/下动作。通过仿真和仿真实验,验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NAO humanoid robot motion planning based on its own kinematics
In this paper, an approach to whole body motion planning for humanoid robots using only onboard sensing is presented. Reliable and accurate motion sequence of motions for humanoid robots operating in complex indoor environments is a prerequisite for robots to fulfill high-level task. The design of complex dynamic motions is achievable only through the use of robot kinematics, which is an application of geometry to the study of arbitrary robotic chains. A sequence of actions for avoiding obstacles including, step over actions, as well as step onto/down actions is presented. As demonstrated in simulation as well as real world experiments with NAO humanoid the validity of the approach is examined and evaluated.
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