Cobots for the automobile assembly line
Abstract
Intelligent assist devices (IADs) are a new class of hybrid devices for direct, physical, interaction with a human operator in shared workspaces. These devices-designed for the assembly line worker-can reduce ergonomics concerns that arise due to on-the-job physical and cognitive loading, while improving safety, quality and productivity. Cobots, a sub-set of IADs, implement software defined virtual guiding surfaces while providing some amplification of human power. They exemplify the central theme of this paper-that humans are critical in many assembly operations and ergonomics tools that enable them to perform their duties are necessary. The paper describes broad design principles for human-machine interaction in these industrial settings. Prototype industrial cobots designed for testing and validation are described.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Most blockchains use public-key cryptosystems based on ECC, which is generally lighter than RSA at the same security level, but such cryptography is still power hungry.
“most blockchains make use of public-key cryptosystems based on Elliptic Curve Cryptography (ECC), which is generally lighter that traditional Rivest-Shamir Addleman (RSA) when compared at the same security level [156], such a kind of cryptography is still power hungry.”
From A Review on the Application of Blockchain to the Next Generation of Cybersecure Industry 4.0 Smart Factories (2019) · cites this paper as [156]
Cites
The information capacity of the human motor system in controlling the amplitude of movement.
Fitts, P. M. (1954) · Journal of Experimental Psychology · doi:10.1037/h0055392 · Cited by 6,466 · see citing works
The information capacity of the human motor system in controlling the amplitude of movement.
Fitts, P. M. (1992) · Journal of Experimental Psychology General · doi:10.1037//0096-3445.121.3.262 · Cited by 6,291 · see citing works
Peshkin, M. A., Colgate, J. E., Wannasuphoprasit, W., Moore, C. A., Gillespie, R. B., & Akella, P. N. (2001) · IEEE Transactions on Robotics and Automation · doi:10.1109/70.954751 · Cited by 373 · see citing works
Self-citationWannasuphoprasit, W., Gillespie, R. B., Colgate, J. E., & Peshkin, M. A. (2002) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.1997.606888 · Cited by 67 · see citing works
Self-citationCobots: a novel material handling technology
Wannasuphoprasit, W., Akella, P. N., Peshkin, M. A., & Colgate, J. E. (1998) · Cited by 23 · see citing works
Self-citationThe next generation munitions handler advanced technology demonstrator program
Deeter, T. E., Koury, G. J., Rabideau, K. M., et al. (2002) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.1997.620061 · Cited by 10 · see citing works
Ergonomics of hybrid intelligence
Salvendy, G. (1988) · Cited by 2 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Human <b>–</b> robot interaction review and challenges on task planning and programming
Tsarouchi, P., Makris, S., & Chryssolouris, G. (2016) · International Journal of Computer Integrated Manufacturing · doi:10.1080/0951192x.2015.1130251 · Cited by 376 · see citing works
Fernandez-Carames, T. M., & Fraga-Lamas, P. (2019) · IEEE Access · doi:10.1109/access.2019.2908780 · Cited by 321 · see citing works
- Authors
- Akella, P., Peshkin, M., Colgate, E., Wannasuphoprasit, W., Nagesh, N., Wells, J., Holland, S., Pearson, T., & Peacock, B.
- Affiliations
- General Motors (United States) (US)
- Northwestern University (US)
- Venue
- Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C)
- Publisher
- IEEE
- Published
- 2003-01-20
- Volume
- 1
- Pages
- 728-733
- ISSN
- 1050-4729 (ISSN-L)
- OpenAlex
- W1502654754
- Cited by
- 139
- References
- 7
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 8 · 2023: 11 · 2022: 17 · 2021: 7 · 2020: 9 · 2019: 7 · 2018: 12 · 2017: 7 · 2016: 7 · 2015: 6 · 2014: 8 · 2013: 4 · 2012: 3
- FWCI
- 5.91
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Proceedings - IEEE International Conference on Robotics and Automation/Proceedings (publishedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Robot Manipulation and Learning
- Physical Sciences › Engineering › Mechanical Engineering › Teleoperation and Haptic Systems
- Physical Sciences › Computer Science › Human-Computer Interaction › Interactive and Immersive Displays
- Keywords
- collaborative robots, automotive assembly line, human-machine interaction, human factors, coworking spaces, assembly operations, industrial robot design
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
