A fuzzy theory in the risk assessment and reduction algorithms for a human centered robotics

The question of safety is becoming more and more crucial since the direct hazard which is the robot itself can not be fully isolated in view of the new tendency in robotics. In this paper an extended approach for the risk assessment and reduction is presented which is based on the fuzzy theory application integrating human factor and work conditions ergonomic analysis. The concept is adapted for the human robot interaction domain and extends the standardized risk assessment techniques used in the manufacturing and conventional robotics. This approach is intended to help designers adequately estimate a task related actual work conditions, identify a risk level and authorize personnel for a collaboration process according to task, safety requirements and interaction level specific.