Collaborative Robotic Masonry and Early Stage Fatigue Prediction

Abstract

The nature of craft has often been dictated by the type and nature of the tool. The authors intend to establish a new relationship between a mechanically articulated tool and a human through the development a symbiotic relationship between them. This study attempts to develop and deploy a framework for collaborative robotic masonry involving one mason and one industrial robotic arm. This study aims to study the harmful posture and muscular stress developed during the construction work and involve a robotic arm to aid the mason to reduce the cumulative damage to one's body. Through utilization of RGBD sensors and surface electromyography procedure the study develops a framework that distributes the task between the mason and robot. The kinematics and electromyography detects the fatigue and harmful postures and activates the robot to collaborate with the mason in the process.