| DC Field | Value | Language |
|---|
| dc.contributor.author | Xinyue Shao | - |
| dc.contributor.author | Qicheng Guo | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2026-09-01T11:39:54Z | - |
| dc.date.available | 2026-09-01T11:39:54Z | - |
| dc.date.issued | 2026 | - |
| dc.identifier.citation | Xinyue Shao. Multi-robot task-path collaborative optimization / Xinyue Shao, Qicheng Guo // Технологии передачи и обработки информации : материалы Международного научно-технического семинара, Минск, апрель 2026 г. / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: В. Ю. Цветков [и др.]. – Минск, 2026. – С. 143–147. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/65629 | - |
| dc.description.abstract | As robotics is widely used in intelligent manufacturing, logistics and unmanned systems,
multi-robot systems have become a research hotspot for their high robustness, flexibility and
parallelism. Task allocation and path planning are core to collaboration but face challenges in
dynamic environments, communication limits and heterogeneous conflicts. This paper defines the
problem, reviews architectures and algorithms, analyzes key challenges, and prospects future
directions such as embodied intelligence and cloud-edge-device collaboration. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | БГУИР | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | multi-robot systems | en_US |
| dc.subject | task allocation | en_US |
| dc.subject | path planning | en_US |
| dc.title | Multi-robot task-path collaborative optimization | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Технологии передачи и обработки информации : материалы Международного научно-технического семинара (2026)
|
