Development and applications of a robot tracking system for NIST test methods

H. Pangborn, S. Brennan, K. Reichard
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Abstract

To investigate the standardization of ground robot endurance as defined by the National Institute of Standard and Technology (NIST), this paper presents the development and applications of a novel robot tracking system that uses three overhead cameras to record the number of laps and the distance traveled by a robot over the duration of a test. The computer algorithms employed perform four primary functions: 1) image acquisition and correction for camera barrel distortion, 2) localization of the robot through fiducial identification, 3) lap counting between user-defined “end-zones,” and 4) conversion of the path traversed from pixels to real-world distances via user-conducted calibrations. Analyses of the precision and accuracy of this system and expected sources of error are provided. Two applications relevant to robot endurance are discussed using data from three separate testing events. The first evaluation is the consistency of laps completed (the current NIST method of estimating the distance traversed), comparing distance and time across different robots and operators. The second evaluation considers trends in operator performance over time for the duration of a test.
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机器人跟踪系统NIST测试方法的开发与应用
为了研究美国国家标准与技术研究所(NIST)定义的地面机器人耐力的标准化,本文介绍了一种新型机器人跟踪系统的开发和应用,该系统使用三个头顶摄像头记录机器人在测试期间的圈数和行驶距离。所采用的计算机算法执行四个主要功能:1)图像采集和校正相机筒畸变,2)通过基准识别对机器人进行定位,3)在用户定义的“末端区域”之间进行圈数计数,以及4)通过用户进行校准将路径从像素转换为实际距离。分析了该系统的精度和准确度以及预期的误差来源。使用来自三个独立测试事件的数据,讨论了与机器人耐力相关的两个应用。第一个评估是完成圈数的一致性(目前NIST估计走过距离的方法),比较不同机器人和操作员之间的距离和时间。第二个评估考虑了在测试期间作业者性能随时间的变化趋势。
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