Abstract
Research findings on robotics are discussed in a new report. According to news reporting originating from Dublin, Ireland, by NewsRx correspondents, research stated, “Tracking human operators working in the vicinity of collaborative robots can improve the design of safety architecture, ergonomics, and the execution of assembly tasks in a human-robot collaboration scenario.” Funders for this research include European Union Horizon 2020 Framework Programme-project Sherlock. The news reporters obtained a quote from the research from University College Dublin: “Three commercial spatial computation kits were used along with their Software Development Kits that provide various real-time functionalities to track human poses. The paper explored the possibility of combining the capabilities of different hardware systems and software frameworks that may lead to better performance and accuracy in detecting the human pose in collaborative robotic applications. This study assessed their performance in two different human poses at six depth levels, comparing the raw data and noise-reducing filtered data. In addition, a laser measurement device was employed as a ground truth indicator, together with the average Root Mean Square Error as an error metric. The obtained results were analysed and compared in terms of positional accuracy and repeatability, indicating the dependence of the sensors’ performance on the tracking distance.”
NETL
NSTL
Mdpi