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Pregled bibliografske jedinice broj: 1221883

Constrained multi-agent ergodic area surveying control based on finite element approximation of the potential field


Ivić, Stefan; Sikirica, Ante; Crnković, Bojan
Constrained multi-agent ergodic area surveying control based on finite element approximation of the potential field // Engineering applications of artificial intelligence, 116 (2022), 105441, 15 (međunarodna recenzija, članak, znanstveni)


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Naslov
Constrained multi-agent ergodic area surveying control based on finite element approximation of the potential field

Autori
Ivić, Stefan ; Sikirica, Ante ; Crnković, Bojan

Izvornik
Engineering applications of artificial intelligence (0952-1976) 116 (2022); 105441, 15

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Multi-agent ; surveying ; Motion control ; Collision avoidance ; FEM ; Heat equation

Sažetak
Heat Equation Driven Area Coverage (HEDAC) is a state-of-the-art multi-agent ergodic motion control guided by a gradient of a potential field. A finite element method is hereby implemented to obtain a solution of the Helmholtz partial differential equation, which models the potential field for surveying motion control. This allows us to survey arbitrarily shaped domains and to include obstacles in an elegant and robust manner intrinsic to HEDAC’s fundamental idea. For a simple kinematic motion, the obstacles and boundary avoidance constraints are successfully handled by directing the agent motion with the gradient of the potential. However, including additional constraints, such as the minimal clearance distance from stationary and moving obstacles and the minimal path curvature radius, requires further alternations of the control algorithm. We introduce a relatively simple yet robust approach for handling these constraints by formulating a straightforward optimization problem based on collision-free escape route maneuvers. This approach provides a guaranteed collision avoidance mechanism while being computationally inexpensive as a result of the optimization problem partitioning. The proposed motion control is evaluated in three realistic surveying scenarios simulations, showing the effectiveness of the surveying and the robustness of the control algorithm. Furthermore, potential maneuvering difficulties due to improperly defined surveying scenarios are highlighted and we provide guidelines on how to overpass them. The results are promising and indicate real-world applicability of the proposed constrained multi-agent motion control for autonomous surveying and potentially other HEDAC utilizations.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Računarstvo, Strojarstvo



POVEZANOST RADA


Projekti:
HRZZ-UIP-2020-02-5090 - Autonomni sustav bespilotnih letjelica za traženje i spašavanje na moru (AOSeR) (Ivić, Stefan, HRZZ - 2020-02) ( CroRIS)
HRZZ-IP-2019-04-1239 - Operatori pomaka, statistički zakoni i beskonačno-dimenzionalni dinamički sustavi (TOSLDS) (Dragičević, Davor, HRZZ - 2019-04) ( CroRIS)

Ustanove:
Tehnički fakultet, Rijeka,
Sveučilište u Rijeci, Fakultet za matematiku

Profili:

Avatar Url Bojan Crnković (autor)

Avatar Url Ante Sikirica (autor)

Avatar Url Stefan Ivić (autor)


Citiraj ovu publikaciju:

Ivić, Stefan; Sikirica, Ante; Crnković, Bojan
Constrained multi-agent ergodic area surveying control based on finite element approximation of the potential field // Engineering applications of artificial intelligence, 116 (2022), 105441, 15 (međunarodna recenzija, članak, znanstveni)
Ivić, S., Sikirica, A. & Crnković, B. (2022) Constrained multi-agent ergodic area surveying control based on finite element approximation of the potential field. Engineering applications of artificial intelligence, 116, 105441, 15.
@article{article, author = {Ivi\'{c}, Stefan and Sikirica, Ante and Crnkovi\'{c}, Bojan}, year = {2022}, pages = {15}, chapter = {105441}, keywords = {Multi-agent, surveying, Motion control, Collision avoidance, FEM, Heat equation}, journal = {Engineering applications of artificial intelligence}, volume = {116}, issn = {0952-1976}, title = {Constrained multi-agent ergodic area surveying control based on finite element approximation of the potential field}, keyword = {Multi-agent, surveying, Motion control, Collision avoidance, FEM, Heat equation}, chapternumber = {105441} }
@article{article, author = {Ivi\'{c}, Stefan and Sikirica, Ante and Crnkovi\'{c}, Bojan}, year = {2022}, pages = {15}, chapter = {105441}, keywords = {Multi-agent, surveying, Motion control, Collision avoidance, FEM, Heat equation}, journal = {Engineering applications of artificial intelligence}, volume = {116}, issn = {0952-1976}, title = {Constrained multi-agent ergodic area surveying control based on finite element approximation of the potential field}, keyword = {Multi-agent, surveying, Motion control, Collision avoidance, FEM, Heat equation}, chapternumber = {105441} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus





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