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Sensor-based Stooped Work Monitoring in Robot-aided Strawberry Harvesting
Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.orgCitation: Paper number 141913911, 2014 Montreal, Quebec Canada July 13 – July 16, 2014. (doi: 10.13031/aim.20141913911) @2014
Authors: Farangis Khosro-Anjom, Richinder Singh Rehal, Fadi A. Fathallah, Kent D. Wilken, Stavros George Vougioukas
Keywords: Ergonomics. Stooped Work. Sensors. Robots. Strawberries
for more than 5% of the working time. To prevent this condition, the inclinations of the trunk and the hip are measured in real time using wireless absolute orientation sensors and the lumbar flexion is calculated as the difference of these two angles and transmitted wirelessly to the robot. The robot can take suitable action to respond to this condition. In this paper, as a case study, the robot returns to the monitored worker to pick up his/her harvested crop only if the above condition has not been met; otherwise it stops a few feet away from him/her, thus forcing him/her to walk and â€˜resetâ€™ the prolonged stooped picking posture. "/>
This paper constitutes a first step towards this goal. A case study of robot-aided strawberry picking is presented, where small robots carry strawberry-filled trays from pickers to an unloading station, thus reducing non-productive walking time. When robots carry the strawberries, the possibility exists for pickers to pick almost continuously, thus maximizing their productivity. However, existing ergonomic studies have shown that the lumbar sagittal flexion becomes an increased risk factor for low back pain when its value exceeds