Collaborative robotics: analysis of influence of the tool and the characteristics of the task on the upper limbs joint angles and task precision

A. Săvescu, I. Urmes, Gilles Reno, O. Remy, O. Morel, K. Desbrosses
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Abstract

Industrial challenges described in the Industry 4.0 projects are focused on the importance of the human in a collaboration with the system and particularly with a robot. In this case, the collaborative robotics situation is analysed. By understanding the constraints and the capabilities of workers, the robot-human collaboration can be designed in accordance with the companies need. Moreover, collaborative robotics, and in particular restrained free physical assistance robot (Cobot), is presented as a possible solution in order to reduce work related musculoskeletal disorders. Scientific literature on this field is very limited and in field solutions have not yet been deployed on a large scale. In this context, the aim of this contribution was to analyse joint angles of the upper limbs and the precision of the task with regard with the tool (traditional grinding tool or cobot) and different characteristics of the task (required force level and movement direction) during industrial grinding. Five professional grinders were asked to perform grinding tasks, on the horizontal plane and two levels of force (F1 = 35N, F2 = 70N). The height of the fixing device of the workpiece was adjustable (to take into account the anthropometry of the subject). The task was exerted at a given speed (10 mm/s). A force plate was used to collect the forces applied by the participants during the experiment and a real time visual feedback (led light) was given to the participant to inform him about the exerted force level. This experiment was carried out under two conditions: manually (traditional grinding using a manual grinding wheel) and assisted by a Cobot. The inter-segmental angles were estimated using a magneto-inertial sensors system. To identify links between the mean of each joint angle of the upper arm (8 degrees of freedom: flexion/extension, abduction/adduction and rotation of the shoulder, flexion/extension and rotation of the elbow, flexion/extension, abduction/adduction and rotation of the hand) and the level of the exerted force and the used tool (traditional grinding tool and cobot), a linear mixed model was performed. The results showed that the tool has a significant influence on the flexion/extension and the rotation of the left shoulder, the rotation of the left and right wrist, the flexion of the left wrist and the rotation of the left elbow. No significant influence of the exerted force was identified. Moreover, there was no interaction between the used tool and the exerted force. These results show that the analysis of the task is of greater importance in the design the tool, for instance the cobot. In conclusion, it is necessary to consider the role of humans as earlier as possible in the design of a tool in order to create the best functional devices.
协同机器人:工具和任务特性对上肢关节角度和任务精度的影响分析
工业4.0项目中描述的工业挑战集中在人类与系统合作的重要性上,特别是与机器人的合作。在这种情况下,分析了协作机器人的情况。通过了解工人的约束条件和能力,可以根据公司的需要设计人机协作。此外,协作机器人,特别是约束自由物理辅助机器人(Cobot),提出了一种可能的解决方案,以减少与工作相关的肌肉骨骼疾病。关于这一领域的科学文献非常有限,现场解决方案尚未大规模部署。在这种情况下,这一贡献的目的是分析上肢的关节角度和与工具(传统磨削工具或协作机器人)有关的任务精度以及工业磨削过程中任务的不同特征(所需的力水平和运动方向)。要求五名专业磨工在水平面上和两级力(F1 = 35N, F2 = 70N)上完成磨削任务。工件固定装置的高度可调(考虑到受试者的人体测量)。任务以给定的速度(10毫米/秒)进行。在实验过程中,使用测力板来收集参与者施加的力,并向参与者提供实时视觉反馈(led灯),以告知其施加的力水平。本实验在两种条件下进行:手动(使用手动砂轮进行传统磨削)和Cobot辅助磨削。利用磁惯性传感器系统估计了段间角。为了确定上臂每个关节角度的平均值(8个自由度:屈/伸、肩外展/内收和旋转、肘关节的屈/伸和旋转、手的屈/伸、外展/内收和旋转)与施加的力和使用的工具(传统研磨工具和协作机器人)的水平之间的联系,执行了一个线性混合模型。结果表明,刀具对左肩的屈伸和旋转、左右腕的旋转、左腕的屈伸和左肘关节的旋转有显著影响。未发现施加的力有显著影响。此外,使用的工具和施加的力之间没有相互作用。这些结果表明,任务分析在机器人等工具的设计中具有重要的意义。总之,为了创造最佳的功能设备,有必要在工具设计中尽早考虑人类的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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