视觉力控制和结构光融合提高对表面不连续性的识别

J. Pomares, P. Gil, G. J. García, Fernando Torres Medina
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引用次数: 2

摘要

本文描述了一种检测机器人末端执行器跟踪给定表面变化的方法。为此,首先描述了一种结合视觉和力信息的方法。通过对相互作用力的过滤,得到了一个表示跟踪面变化概率的参数。为了更准确地确定表面的变化,还使用了位于机器人末端执行器的激光器的信息。为此,提出了一种将力、视觉信息与结构光相结合的表面不连续检测方法
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Visual - Force Control and Structured Light Fusion to Improve Recognition of Discontinuities in Surfaces
This paper describes a method to detect changes in given surfaces tracked by the robot end-effector. To do so, first an approach to combine visual and force information is described. By filtering the interaction forces, a parameter which provides the probability of a change in the tracking surface is obtained. In order to obtain a more accurate determination of the change in the surface, information from a laser located at the robot end-effector is also employed. Therefore, a robust method for detecting surface discontinuities which employs force and visual information jointly with structured light is presented
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