Online Prediction for Safe Human-Robot Collaboration: A Model of the Human Arm

Traditionally safety in industrial manufacturing environments has been addressed by rigid separation between robots and human operators. With the advent of new technologies transition production to industry 4.0, a more flexible approach is pursued achieve higher productivity, where operators are allowed collaborate interact. This transformation leads overcoming traditional procedures development safety-assuring for minimization risks connected with robot collaboration. In this work we focus on prediction movements operators’ upper torso arms developing method which combines data driven methodologies formal methods. The based predictive model motion compared against planned trajectory online monitoring satisfaction requirements We provide an early assessment robustness proposed results from simulations virtual environment.