Approaches to Multi-Robot Exploration and Localization

Authors

  • Arif Ozgelen The Graduate Center, City University of New York
  • Michael Costantino College of Staten Island, City University of New York
  • Adiba Ishak Brooklyn College, City University of New York
  • Moses Kingston Brooklyn College, City University of New York
  • Diquan Moore Lehman College, City University of New York
  • Samuel Sanchez Queens College, City University of New York
  • J. Munoz Brooklyn College, City University of New York
  • Simon Parsons Brooklyn College, City University of New York
  • Elizabeth Sklar Brooklyn College, City University of New York

Abstract

We present approaches to several fundamental tasks in multi-robot team-based exploration and localization, based on student projects developed in the past year.

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Published

2011-08-04

How to Cite

Ozgelen, A., Costantino, M., Ishak, A., Kingston, M., Moore, D., Sanchez, S., Munoz, J., Parsons, S., & Sklar, E. (2011). Approaches to Multi-Robot Exploration and Localization. Proceedings of the AAAI Conference on Artificial Intelligence, 25(1), 1880-1881. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/7999

Issue

Vol. 25 No. 1 (2011): Twenty-Fifth AAAI Conference on Artificial Intelligence

Section

Robotics Program