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A method for evaluating humanoid robots using anthropometric and biomechanical data

机译:一种利用人体测量和生物力学数据评估类人机器人的方法

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Humanoids are generalists, often lacking specific tasks or goals that can be used to evaluate or compare robot performance. Evaluating humanoids through a standardized, generalizable approach can yield a measure of robot performance on yet to be defined tasks. Anthropometric and biomechanical data from human factors design guides can be used as a baseline for evaluating humanoid performance in human-engineered environments. Past humanoid designs have used anthropometric data to define their design parameters, but no standard exists for evaluating humanoid performance. By creating a standard for humanoids, a robots capabilities can be characterized without explicitly testing every conceivable task. NASAs Valkyrie robot was tested against the anthropometric, range of motion, mass property, and strength data from NASAs Constellation Program Human-Systems Integration Requirements. The robot model offered anthropometric and range of motion data, and hardware tests were used to collect mass proportion and strength data. According to the standard used, Valkyrie fell within acceptable bounds for 59% of anthropometry, 64% of range of motion, 13% of mass property and 35% of criticality 1 strength measurements. Evaluating humanoids against the standards upon which human systems are built yields a quantitative measure of robot performance in human-engineered environments. This proposed approach can be generalized to evaluate other humanoids against a common standard. Failures or weaknesses in the humanoid design can be identified and reevaluated over time. Metric performance can be improved through advancements in robot control, operator skill, and hardware redesign.
机译:类人动物是通才,通常缺乏可用于评估或比较机器人性能的特定任务或目标。通过标准化,可通用的方法评估类人动物可以衡量尚未定义任务的机器人性能。来自人为因素设计指南的人体测量学和生物力学数据可以用作评估人为工程环境中类人动物性能的基准。过去的类人动物设计曾使用人体测量数据来定义其设计参数,但尚无用于评估类人动物性能的标准。通过创建类人动物标准,无需明确测试每个可能的任务就可以表征机器人的功能。 NASAS Valkyrie机器人经过了NASA星座计划人机集成要求的人体测量,运动范围,质量特性和强度数据测试。该机器人模型提供了人体测量数据和运动数据范围,并且使用硬件测试来收集质量比例和强度数据。根据所使用的标准,Valkyrie在人体测量的59%,运动范围的64%,质量特性的13%和Critical 1强度测量的35%的可接受范围内。根据构建人类系统的标准对类人动物进行评估,可以定量评估在人类工程环境中机器人的性能。可以普遍采用这种提议的方法,以根据共同的标准评估其他类人动物。人形设计的失败或弱点可以被识别并随时间重新评估。通过提高机器人控制,操作员技能和硬件重新设计,可以提高指标性能。

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