arXiv (All)
open access
CC-OPI: Online Distributed Task Allocation for UAV Swarms under Communication Constraints
In multi-robot missions such as post-disaster search and rescue, a short communication range fragments a swarm of Unmanned Aerial Vehicles (UAVs) into transient information islands. Under such intermittent connectivity, the prevailing "allocate-then-execute" paradigm--which requires global consensus
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Agentic AI Enabling Autonomous, Self-Organizing, and Evolving UAV Networks#1051070
- AeroLat: Channel-Aware Latent Space Semantic Communication for Decentralized UAV Swarms#1123356
- AeroLat: Channel-Aware Latent Space Semantic Communication for Decentralized UAV Swarms#919290
- Designing Dense Satellite Clusters for Distributed Space-based Datacenters#194294
- Distributed Acoustic Sensing Over Deployed Telecommunication Fiber Networks: Opportunities and Challenges#1062038
Record · ID 1013807
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive