arXiv (All)
open access
Feasibility Ceilings Before Learning: Sizing and Timing Bounds for Drone-Mesh Interception
A mesh of interceptors defending a fixed site must spread over the predicted arrival point of an approaching object. This is a recurring task in multi-agent robotics: N agents, each covering a disc of radius r, spread over a probability density so that a point drawn from it falls within some agent's
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
- Autonomous Site Perimeter Patrolling using Quadrupeds — MERCELL UK LTD#608179
- AerialDojo-200K: A Large-Scale Benchmark Suite for Open-World Aerial Object-Goal Search#1130908
- Density-Driven Area Coverage for Nonholonomic Multi-Robot Systems with Safety Guarantee#1037351
- Drone with wide frontal field of view — Performance Drone Works Llc (US11307583B2)#607652
- Reducing QUBO Complexity in Drone Delivery Through Classical Feasibility Preprocessing#1356339
Record · ID 1355812
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