Human-robot collaboration has significant potential in recycling due to the wide variation in the composition of recyclable products. Six participants performed a recyclable item sorting task collaborating with a robot arm equipped with a vision system. The effect of three different levels of human involvement or assistance to the robot (Level 1- occlusion removal; Level 2- optimal spacing; Level 3- optimal grip) on performance metrics such as robot accuracy, task time and subjective fluency were assessed. Results showed that human involvement had a remarkable impact on the robot's accuracy, which increased with human involvement level. Mean accuracy values were 33.3% for Level 1, 69% for Level 2 and 100% for Level 3. The results imply that for sorting processes involving diverse materials that vary in size, shape, and composition, human assistance could improve the robot's accuracy to a significant extent while also being cost-effective.
翻译：人类机器人合作在回收利用方面具有巨大潜力,因为可再循环产品构成的构成差异很大。 6名参与者与配备了视觉系统的机器人手臂合作,完成了可再循环物品分类任务。 人类参与或协助机器人的三个不同层次(一级是消除隐蔽;二级是最佳间隔;三级是最佳控制)对机器人精度、任务时间和主观流畅度等性能指标的影响。 结果表明,人类参与对机器人的准确性产生了显著影响,随着人类参与程度的提高,机器人的准确性也随之提高。 一级是1级,69%,二级是69%,三级是100 % 。 结果表明,对于涉及不同大小、形状和构成的不同材料的分类过程,人力援助可以大大提高机器人的准确性,同时也具有成本效益。
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