Adaptive locomotion learning in modular self-reconfigurable robots: A game theoretic approach

Ayan Dutta; Prithviraj Dasgupta; Carl Nelson

doi:10.1109/IROS.2017.8206200

Adaptive locomotion learning in modular self-reconfigurable robots: A game theoretic approach

Ayan Dutta
, Prithviraj Dasgupta
, Carl Nelson

University of Nebraska Omaha
University of Nebraska-Lincoln

Research output: Chapter or Contribution to Book › Conference contribution

Original language	English
Title of host publication	IROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems
Pages	3556-3561
Number of pages	6
ISBN (Electronic)	9781538626825
DOIs	https://doi.org/10.1109/IROS.2017.8206200
State	Published - Dec 13 2017
Externally published	Yes
Event	2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017 - Vancouver, Canada Duration: Sep 24 2017 → Sep 28 2017

Publication series

Name	IEEE International Conference on Intelligent Robots and Systems
Volume	2017-September
ISSN (Print)	2153-0858
ISSN (Electronic)	2153-0866

Conference

Conference	2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017
Country/Territory	Canada
City	Vancouver
Period	9/24/17 → 9/28/17

ASJC Scopus Subject Areas

Control and Systems Engineering
Software
Computer Vision and Pattern Recognition
Computer Science Applications

Access to Document

10.1109/IROS.2017.8206200

Cite this

Dutta, A., Dasgupta, P., & Nelson, C. (2017). Adaptive locomotion learning in modular self-reconfigurable robots: A game theoretic approach. In IROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems (pp. 3556-3561). Article 8206200 (IEEE International Conference on Intelligent Robots and Systems; Vol. 2017-September). https://doi.org/10.1109/IROS.2017.8206200

Adaptive locomotion learning in modular self-reconfigurable robots: A game theoretic approach. / Dutta, Ayan; Dasgupta, Prithviraj; Nelson, Carl.
IROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems. 2017. p. 3556-3561 8206200 (IEEE International Conference on Intelligent Robots and Systems; Vol. 2017-September).

Research output: Chapter or Contribution to Book › Conference contribution

Dutta, A, Dasgupta, P & Nelson, C 2017, Adaptive locomotion learning in modular self-reconfigurable robots: A game theoretic approach. in IROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems., 8206200, IEEE International Conference on Intelligent Robots and Systems, vol. 2017-September, pp. 3556-3561, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017, Vancouver, Canada, 9/24/17. https://doi.org/10.1109/IROS.2017.8206200

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title = "Adaptive locomotion learning in modular self-reconfigurable robots: A game theoretic approach",

author = "Ayan Dutta and Prithviraj Dasgupta and Carl Nelson",

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Adaptive locomotion learning in modular self-reconfigurable robots: A game theoretic approach

Publication series

Conference

ASJC Scopus Subject Areas

Access to Document

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Cite this