The DOI matches its Crossref record; 120 of the 120 references it cites were found in a registry or an index.
Physical Human–Robot Interaction
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Citations
Cites
Slotine, J.-J. E., & Li, W. (1991) · CERN Document Server (European Organization for Nuclear Research) · Cited by 18,975
The coordination of arm movements: an experimentally confirmed mathematical model
Flash, T., & Hogan, N. (1985) · The Journal of Neuroscience · doi:10.1523/jneurosci.05-07-01688.1985 · Cited by 4,395
Impedance Control: An Approach to Manipulation: Part I—Theory
Hogan, N. (1985) · Journal of Dynamic Systems, Measurement, and Control · doi:10.1115/1.3140702 · Cited by 3,673
Tactile Sensing—From Humans to Humanoids
Dahiya, R. S., Metta, G., Valle, M., & Sandini, G. (2010) · IEEE Transactions on Robotics · doi:10.1109/tro.2009.2033627 · Cited by 1,851
Modeling and Control of Elastic Joint Robots
Spong, M. W. (1987) · Journal of Dynamic Systems, Measurement, and Control · doi:10.1115/1.3143860 · Cited by 1,615
Human–Robot Interaction: A Survey
Goodrich, M. A., & Schultz, A. C. (2008) · Foundations and Trends® in Human–Computer Interaction · doi:10.1561/1100000005 · Cited by 1,541
The central nervous system stabilizes unstable dynamics by learning optimal impedance
Burdet, E., Osu, R., Franklin, D. W., Milner, T. E., & Kawato, M. (2001) · Nature · doi:10.1038/35106566 · Cited by 1,097
Variable impedance actuators: A review
Vanderborght, B., Albu-Schaeffer, A., Bicchi, A., Burdet, E., Caldwell, D. G., Carloni, R., Catalano, M., Eiberger, O., Friedl, W., Ganesh, G., et al. (2013) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2013.06.009 · Cited by 1,008
Self-citationAn atlas of physical human–robot interaction
De Santis, A., Siciliano, B., De Luca, A., & Bicchi, A. (2008) · Mechanism and Machine Theory · doi:10.1016/j.mechmachtheory.2007.03.003 · Cited by 826
Albu-Schäffer, A., Ott, C., & Hirzinger, G. (2007) · The International Journal of Robotics Research · doi:10.1177/0278364907073776 · Cited by 815
Cited by
(2016) · Springer Handbooks · doi:10.1007/978-3-319-32552-1 · Cited by 2,122
Electronic skins and machine learning for intelligent soft robots
Shih, B., Shah, D., Li, J., Thuruthel, T. G., Park, Y.-L., Iida, F., Bao, Z., Kramer-Bottiglio, R., & Tolley, M. T. (2020) · Science Robotics · doi:10.1126/scirobotics.aaz9239 · Cited by 715
Cobot programming for collaborative industrial tasks: An overview
El Zaatari, S., Marei, M., Li, W., & Usman, Z. (2019) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2019.03.003 · Cited by 470
Chugunova, M., & Sele, D. (2022) · Journal of Behavioral and Experimental Economics · doi:10.1016/j.socec.2022.101897 · Cited by 118
Metadata
- Authors
- Haddadin, S., & Croft, E.
- Venue
- Springer Handbooks
- Publisher
- Springer International Publishing
- Published
- 2016
- Pages
- 1835-1874
- ISSN
- 2522-8692 (ISSN-L)
- 2522-8706
- OpenAlex
- W2280090643
- Cited by
- 263
- References
- 120
- FWCI
- 43.05
- Type
- book chapter
- Language
- en
- Open access
- closed
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- Haddadin, S., & Croft, E. (2016). Physical Human–Robot Interaction. Springer Handbooks. https://doi.org/10.1007/978-3-319-32552-1_69
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.