面向被动地形适应的棱镜足式欠驱动机器人设计

Seonghoon Noh, A. Dollar
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引用次数: 1

摘要

与轮式机器人不同,有腿机器人的优势在于能够在非结构化地形上移动。然而,许多有腿机器人需要多个传感器和在线计算来实时指定给定地形的步态、轨迹或接触力,当感官信息不可靠或不可用时,这些方法可能会失效。多年来,欠驱动机构在物体抓取和操作任务中取得了巨大的成功,因为它们能够被动地适应物体的几何形状而不需要传感器。在本文中,我们提出了欠驱动在设计一种在无传感的开环控制下操纵非结构化地形的棱镜腿机器人中的应用。通过实验结果,我们证明了棱镜腿可以支持静态稳定的姿态,并且可以在保持身体姿势的同时促进非结构化地形的运动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of an Underactuated Legged Robot With Prismatic Legs for Passive Adaptability to Terrain
Legged robots have the advantage of being able to maneuver unstructured terrains unlike their wheeled counterparts. However, many legged robots require multiple sensors and online computations to specify the gait, trajectory or contact forces in real-time for a given terrain, and these methods can break down when sensory information is unreliable or not available. Over the years, underactuated mechanisms have demonstrated great success in object grasping and manipulation tasks due to their ability to passively adapt to the geometry of the objects without sensors. In this paper, we present an application of underactuation in the design of a legged robot with prismatic legs that maneuvers unstructured terrains under open-loop control without any sensing. Through experimental results, we show that prismatic legs can support a statically stable stance and can facilitate locomotion over unstructured terrain while maintaining its body posture.
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