Adaptable Workstations for Human-Robot Collaboration A Reconfigurable Framework for Improving Worker Ergonomics and Productivity
- Authors
- Kim, Wansoo; Lorenzini, Marta; Balatti, Pietro; Nguyen, Phuong D. H.; Pattacini, Ugo; Tikhanoff, Vadim; Peternel, Luka; Fantacci, Claudio; Natale, Lorenzo; Metta, Giorgio; Ajoudani, Arash
- Issue Date
- Sep-2019
- Publisher
- IEEE
- Citation
- IEEE ROBOTICS & AUTOMATION MAGAZINE, v.26, no.3, pp.14 - 26
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE ROBOTICS & AUTOMATION MAGAZINE
- Volume
- 26
- Number
- 3
- Start Page
- 14
- End Page
- 26
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/105824
- DOI
- 10.1109/MRA.2018.2890460
- ISSN
- 1070-9932
- Abstract
- Musculoskeletal disorders, the single largest category of workrelated injuries in many industrial countries, are associated with very high costs in terms of lost productivity. In highvolume production facilities, large parts of the workstation should ideally be adapted to individual workers in real time to prevent such injuries. However, in smaller production lines, especially those found in small and medium enterprises (SMEs), regularly adapting the entire workstation to accommodate flexibility is a major challenge. A solution to the problem is the development of reconfigurable human-robot collaboration (HRC) workstations and frameworks. These are key to enabling agile manufacturing, by merging the dexterity, flexibility, and problem-solving ability of humans with the strength and precision of robotics.
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Collections - COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF ROBOT ENGINEERING > 1. Journal Articles
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