Sharework partners from Fraunhofer IWU have presented the paper “Efficient Local and Global Sensing for Human Robot Collaboration with Heavy-duty Robots”, during the 14th edition of the 2021 IEEE International Symposium on Robotic and Sensors Environments (ROSE) on which took place virtually from 28th – 29th of October.
The paper, presented at the session “Robotic Systems”, introduces a novel integrated local and global sensing methodology for optimal collision detection and avoidance, which is validated using a heavy-duty industrial robot for a constant human presence. This methodology allows 11% more process efficiency compared to global only sensing system, while allowing 0% increase in the production space requirement, which makes it applicable to retrofit previously, installed robotic cells.
The 2021 IEEE International Symposium on Robotic and Sensors Environments (ROSE) was focused on sensing systems and technologies for robotics and industrial automation, as well as their impact on autonomous robotics and intelligent systems development and applications.