Differential game theory for versatile physical human–robot interaction

Li Y, Carboni G, Gonzalez F, Campolo D, Burdet E (2019)
Nature Machine Intelligence 1(1): 36-43.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Autor*in
Li, Y.; Carboni, G.; Gonzalez, F.; Campolo, D.; Burdet, E.
Einrichtung
Erscheinungsjahr
2019
Zeitschriftentitel
Nature Machine Intelligence
Band
1
Ausgabe
1
Seite(n)
36-43
ISSN
2522-5839
Page URI
https://pub.uni-bielefeld.de/record/2933603

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Li Y, Carboni G, Gonzalez F, Campolo D, Burdet E. Differential game theory for versatile physical human–robot interaction. Nature Machine Intelligence. 2019;1(1):36-43.
Li, Y., Carboni, G., Gonzalez, F., Campolo, D., & Burdet, E. (2019). Differential game theory for versatile physical human–robot interaction. Nature Machine Intelligence, 1(1), 36-43. doi:10.1038/s42256-018-0010-3
Li, Y., Carboni, G., Gonzalez, F., Campolo, D., and Burdet, E. (2019). Differential game theory for versatile physical human–robot interaction. Nature Machine Intelligence 1, 36-43.
Li, Y., et al., 2019. Differential game theory for versatile physical human–robot interaction. Nature Machine Intelligence, 1(1), p 36-43.
Y. Li, et al., “Differential game theory for versatile physical human–robot interaction”, Nature Machine Intelligence, vol. 1, 2019, pp. 36-43.
Li, Y., Carboni, G., Gonzalez, F., Campolo, D., Burdet, E.: Differential game theory for versatile physical human–robot interaction. Nature Machine Intelligence. 1, 36-43 (2019).
Li, Y., Carboni, G., Gonzalez, F., Campolo, D., and Burdet, E. “Differential game theory for versatile physical human–robot interaction”. Nature Machine Intelligence 1.1 (2019): 36-43.

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