---
res:
  bibo_abstract:
  - This paper presents two local navigation strategies for multi-robot systems in
    performing exploration of unknown environments. The strategies are based on the
    frontier cell for mapping the environment and navigating in it. Additionally,
    two coordination strategies are used to solve possible conflicts among robots.
    Key criteria investigated are the efficiency and effectiveness represented by
    the completion time, traveled distance, the total steps, and the task distribution.
    The developed algorithms are tested in simulations as well as in experiments with
    Khepera III mini robots running on the Teleworkbench. To evaluate the robustness
    of the developed algorithms, tests are performed under different environmental
    configurations and varying numbers of robots. The results show the advantages
    of both proposed strategies in different situations such as environment types
    and starting positions.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Andry
      foaf_name: Tanoto, Andry
      foaf_surname: Tanoto
  - foaf_Person:
      foaf_givenName: Ulrich
      foaf_name: Rückert, Ulrich
      foaf_surname: Rückert
  bibo_doi: 10.1016/j.proeng.2012.07.301
  bibo_volume: 41
  dct_date: 2012^xs_gYear
  dct_language: eng
  dct_title: Local Navigation Strategies for Multi-Robot Exploration@
...