A Fuzzy Inference Approach To Control Robot Speed In Human-Robot Shared Workspaces

Nowadays, human-robot collaboration (HRC) is an important topic in the industrial sector. According to the current regulations, the robot no longer needs to be isolated in a work cell, but a collaborative workspace in which human operators and robots coexist can be acceptable. Human-robot interaction (HRI) is made possible by proper design of the robot and by using advanced sensors with high accuracy, which are adopted to monitor collaborative operations to ensure the human safety. Goal of this article is to implement a fuzzy inference system, based on the ISO/TS 15066, to correctly compute the minimum protective separation distance and adjust the robot speed by considering different possible situations, with the aim to avoid any collisions between operators and robots trying to minimize cycle time as well.