Vision-Based Ergonomic Adaptation of Robotic Movements in Human-Robot Collaboration
Translated title
Vision-baseret ergonomisk tilpasning af robot bevægelser i menneske-robot samarbejde
Author
van den Broek, Marike Koch
Term
4. term
Publication year
2020
Submitted on
2020-07-02
Pages
117
Abstract
Although general welfare has improved the working environment for many shop-floor workers, some jobs remain physically demanding and below modern standards. A clear example is butchers in the meat packing industry, who have a high incidence of musculoskeletal disorders (MSDs) — injuries to muscles, joints, and tendons. This project examines whether combining robots with computer vision (cameras and algorithms that interpret visual information) can improve working conditions by ergonomically adapting robot movements in human-robot collaboration (HRC). The project reviews relevant methods and technologies and implements an adaptive system. It also proposes a method to adjust robot motions based on two ergonomic risk factors (ERFs): posture and repetitiveness. The aim is to reduce strain by having the robot support better postures and lessen monotonous, repetitive actions.
Selv om den generelle velfærd har forbedret arbejdsmiljøet for mange produktionsmedarbejdere, er nogle job stadig fysisk belastende og lever ikke op til moderne standarder. Et eksempel er slagtere i kødforarbejdningsindustrien, hvor forekomsten af muskuloskeletale lidelser (MSD) – skader i muskler, led og sener – er høj. Dette projekt undersøger, om en kombination af robotter og computersyn (kameraer og algoritmer, der tolker visuel information) kan forbedre arbejdsvilkårene ved ergonomisk tilpasning af robotbevægelser i menneske-robot-samarbejde (HRC). Projektet kortlægger relevante metoder og teknologier og implementerer et adaptivt system. Derudover foreslås en metode, der justerer robotbevægelser ud fra to ergonomiske risikofaktorer (ERF): arbejdsstilling og gentagelsesgrad. Formålet er at mindske fysisk belastning ved at få robotten til at understøtte bedre arbejdsstillinger og reducere ensformigt, gentaget arbejde.
[This apstract has been rewritten with the help of AI based on the project's original abstract]