期刊论文详细信息
Applied Sciences
A Practical and Effective Layout for a Safe Human-Robot Collaborative Assembly Task
Mario Troise1  Stefano Pastorelli1  Stefano Mauro1  LeonardoSabatino Scimmi1  Matteo Melchiorre1 
[1] Department of Mechanical and Aerospace Engineering, Politecnico di Torino, 10129 Torino, Italy;
关键词: collaborative robotics;    collaborative task;    collision avoidance;    trajectory planning;    vision system;    motion tracking;   
DOI  :  10.3390/app11041763
来源: DOAJ
【 摘 要 】

This work describes a layout to carry out a demonstrative assembly task, during which a collaborative robot performs pick-and-place tasks to supply an operator the parts that he/she has to assemble. In this scenario, the robot and operator share the workspace and a real time collision avoidance algorithm is implemented to modify the planned trajectories of the robot avoiding any collision with the human worker. The movements of the operator are tracked by two Microsoft Kinect v2 sensors to overcome problems related with occlusions and poor perception of a single camera. The data obtained by the two Kinect sensors are combined and then given as input to the collision avoidance algorithm. The experimental results show the effectiveness of the collision avoidance algorithm and the significant gain in terms of task times that the highest level of human-robot collaboration can bring.

【 授权许可】

Unknown   

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