Institutional Repository
Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/B6377D1F-73AF-4C04-855C-60BF337395A4 | - |
| Identifier | https://doi.org/10.1007/s10846-021-01555-3 | - |
| Identifier | https://link.springer.com/article/10.1007/s10846-021-01555-3 | - |
| Language | en | - |
| Extent | 18 pages | en |
| Title | Towards the achievement of path planning with multi-robot systems in dynamic environments | en |
| Creator | Kyprianou Georgios | en |
| Creator | Doitsidis Eleftherios | en |
| Creator | Δοιτσιδης Ελευθεριος | el |
| Creator | Chatzichristofis S. A. | en |
| Publisher | Springer Nature | en |
| Content Summary | Recent advances in technology lead to the use of robotic systems as part of the modern working environment. Single and multiple robotic systems work closely with humans to accomplish desired tasks, and the recent advancements have made the usage of multi-robot teams more appealing. One critical problem in utilizing the robot’s full potential is the Path planning problem and, while in the case of a single’s robot, path planning has been extensively investigated, in the case of Multiple Robotic Systems (MRS), especially in dynamic changing environments, there are significant open challenges. Based on the statement mentioned above, a detailed survey has been conducted to highlight these challenges and identify potential solutions. In addition, the beneficial use of MRS is presented, as opposed to single robotic systems through the literature, and already-achievable industry-related results are provided. It is concluded that the practical application of path planning in dynamic environments using MRS is still a field of research and development, requiring the community to engage more with practical applications. | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2024-02-09 | - |
| Date of Publication | 2022 | - |
| Subject | Algorithms | en |
| Subject | Artificial intelligence | en |
| Subject | Dynamic environment | en |
| Subject | Industrial automation | en |
| Subject | Multi robot systems | en |
| Subject | Path planning | en |
| Bibliographic Citation | G. Kyprianou, L. Doitsidis and S. A. Chatzichristofis, “Towards the achievement of path planning with multi-robot systems in dynamic environments,” J. Intell. Robot. Syst., vol. 104, no. 1, 2022, doi: 10.1007/s10846-021-01555-3. | en |
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