Can Genetic Algorithms Be Used for Real-Time Obstacle Avoidance for LiDAR-Equipped Mobile Robots?

Gyenes Z, Bölöni L, Szádeczky-Kardoss EG

DOI: 10.3390/s23063039
Published: 2023 Mar 11
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s23063039,
  title = {Can Genetic Algorithms Be Used for Real-Time Obstacle Avoidance for LiDAR-Equipped Mobile Robots?},
  author = {Gyenes Z and Bölöni L and Szádeczky-Kardoss EG},
  year = {2023},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s23063039},
  url = {https://doi.org/10.3390/s23063039}
}

RIS

TY  - JOUR
TI  - Can Genetic Algorithms Be Used for Real-Time Obstacle Avoidance for LiDAR-Equipped Mobile Robots?
AU  - Gyenes Z
AU  - Bölöni L
AU  - Szádeczky-Kardoss EG
PY  - 2023
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s23063039
UR  - https://doi.org/10.3390/s23063039
ER  -

APA

Z, G., L, B., & EG, S. (2023). Can Genetic Algorithms Be Used for Real-Time Obstacle Avoidance for LiDAR-Equipped Mobile Robots?. Sensors (Basel, Switzerland). https://doi.org/10.3390/s23063039

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pubmed · retrieved 2026-09-25T09:22:28.219Z