Human Factors to Develop a Safety Guard Model in Human-Robot Interaction

Autor:	Yimesker Yihun, AmirHossein MajidiRad, Prasham Maniar, Hongsheng He
Rok vydání:	2020
Předmět:	Guard (information security) medicine.diagnostic_test Computer science media_common.quotation_subject Interface (computing) Electromyography Human–robot interaction Task (project management) body regions Perception medicine Robot human activities Simulation media_common
Zdroj:	Proceedings of the 2020 USCToMM Symposium on Mechanical Systems and Robotics ISBN: 9783030439286
DOI:	10.1007/978-3-030-43929-3_24
Popis:	In this research, a strategy to incorporate an assist-as-needed scheme into human-robot collaboration during an object co-lifting and manipulation task is developed. Surface Electromyography (sEMG) signals from the upper-arm muscles are collected and analyzed to quantify fatigue while the subjects are collaborating with a Universal Robot (UR5). Rated perceived fatigue (RPF) is then utilized to quantify fatigue levels based on personal perception of the subject using the intervals of 25%, 50%, 75% and 100%. This perceived information is correlated with the change in interaction load at the object-robot interface to quantify the modifying factor needed to stay in the optimal human-robot collaboration (HRC) condition.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::74018620c5b86bb3dba5ab11b5ca1c10 https://doi.org/10.1007/978-3-030-43929-3_24 Zobrazit plný text záznamu