Although the general welfare has improved the working environment for shop-floor work- ers throughout a variety of industries, the conditions are not necessarily living up to the standards of the general welfare. Some shop- floor workers are still exposed to physically straining jobs, which through challenges in design or business strategies has not caught up with societal tendencies. An example of such a job is the processing and handling of meat by butchers in the meat packing indus- try, where the incidence of Musculoskeletal Disorders (MSDs) is high. In an attempt to investigate how a combination of robots and vision technology can improve the work- ing conditions for the butcher, this project explores the possibility of vision-based er- gonomic adaptation of the robotic movements in Human-Robot Collaboration (HRC). The relevant methods and technologies are in- vestigated and an adaptive system is imple- mented. Furthermore, a method for adapt- ing robotic movements according to two Er- gonomic Risk Factors (ERFs), posture and repetitiveness, is proposed.