基于计算机视觉的机器人教学应用

Nitesh kumar Sharma, Deepesh Kumar Gautam, M. R. Khan
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引用次数: 0

摘要

分析机器人应用的学生希望在选定的领域有每一个实验和理论的理解。这些区域包括感知传感器、三维区域、组织框架之间的转换和解码因子云数据。一个杰出的设备,为他们获得的关键因素是一个协作显示屏幕。人机界面使得挑战更依赖于动作。目前,三维传感器通常是通过机器人邻域(kinectv2)来使用的。该传感器位于显示器上方,并在显示器前旋转,目的是体验人类锻炼。在屏幕前面最近的内部物体中检测到设计方案。为此,大学生需要对传感器的座标体与显示器的座标体进行大量的交替计算。为了成功执行此过程,应用了几种策略。在aruco标记的每一次使用中,他们都喜欢设计和验证必要的数学技术,并看看他们的答案。随后,他们考虑使用因子云信息。在屏幕前,他们会意识到最近的男人或女人的名声。他们还可以通过混合计算地面的平面方程和从屏幕座标体的视图分量推断记录来获得这一点。研究了扫描因子云内部的阈值处理方法。最后,提出了一种分割字符与显示屏幕相互作用的算法。完成这一挑战代表着大学生可以在人机交互(HRD)的关注范围内,为更高层次的现代机器人项目分析数据。
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Computer Vision based use of Robotics for Teaching
Innovative Students analyzing the applications of robots want to have each experimental and theoretical understanding in a selection of regions. Those regions embody perception sensors, three-d area, transforms among organize frames, and deciphering factor-cloud data. An outstanding device for them to acquire the critical factor is a collaborating show display screen. The human-system interface makes the challenge rely greater on the motion. At present, 3-D sensor is used typically via the robotics neighborhood (kinectv2). This sensor is positioned above the display and turned around with a purpose to experience human workout in the front of the display. A design proposal is detected in the nearest object interior to the front of the screen. To strive this, college students need to compute the extensively alternate of the coordinate body of the sensor and body of the display. Several strategies are applied to execute this process successfully. One in each and every usage of the aruco markers, they favor to devise and verify imperative mathematical technique and take a look at their answer. Subsequently, they look at to work with factor-cloud information. They choose to flip out to be conscious of the nearest man or female reputation subsequent in the front of the screen. They may additionally be capable to gain this through calculating the plane equation of the ground in mixture with inferring the records from the component of view of the coordinate body of the screen. The thresholding operations which are interior to the scanned factor-cloud are studied. Finally, an algorithm is developed for the interplay between the segmented character and the show screen. Completing this challenge represents university and college students can analyze data for higher modern robotics’ programs, on the whole inside the concern of the Human-Robotic Interaction (HRD.
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