A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception, and Active Vision
Tekijät: Peña Queralta J, Taipalmaa J, Pullinen BC, Sarker VK, Gia TN, Tenhunen H, Gabbouj M, Raitoharju J, Westerlund T
Kustantaja: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Julkaisuvuosi: 2020
Journal: IEEE Access
Tietokannassa oleva lehden nimi: IEEE ACCESS
Lehden akronyymi: IEEE ACCESS
Vuosikerta: 8
Aloitussivu: 191617
Lopetussivu: 191643
Sivujen määrä: 27
ISSN: 2169-3536
eISSN: 2169-3536
DOI: https://doi.org/10.1109/ACCESS.2020.3030190
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/50080855
Search and rescue (SAR) operations can take significant advantage from supporting autonomous or teleoperated robots and multi-robot systems. These can aid in mapping and situational assessment, monitoring and surveillance, establishing communication networks, or searching for victims. This paper provides a review of multi-robot systems supporting SAR operations, with system-level considerations and focusing on the algorithmic perspectives for multi-robot coordination and perception. This is, to the best of our knowledge, the first survey paper to cover (i) heterogeneous SAR robots in different environments, (ii) active perception in multi-robot systems, while (iii) giving two complementary points of view from the multi-agent perception and control perspectives. We also discuss the most significant open research questions: shared autonomy, sim-to-real transferability of existing methods, awareness of victims' conditions, coordination and interoperability in heterogeneous multi-robot systems, and active perception. The different topics in the survey are put in the context of the different challenges and constraints that various types of robots (ground, aerial, surface, or underwater) encounter in different SAR environments (maritime, urban, wilderness, or other post-disaster scenarios). The objective of this survey is to serve as an entry point to the various aspects of multi-robot SAR systems to researchers in both the machine learning and control fields by giving a global overview of the main approaches being taken in the SAR robotics area.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
