arXiv (All)
open access
CARVS: A Congestion-Aware Algorithm for Online Multi-Agent Pickup-and-Delivery in Human-Collaborative Warehouses
Intelligent warehouse systems have transformed logistics by integrating robots with minimal infrastructure changes, boosting efficiency and optimizing workflows compared to traditional human-only operations. However, human-robot collaboration introduces new challenges, particularly due to human unce
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
- Integration of AI Agents in Operations Management: Models for Enhancing Business Process Efficiency#692483
- READY or Not: Reliable Enterprise Agent Deployment#822497
- Agensh: Scaling Organizational Intelligence to 1,024 Agents#1062705
- Communication-Constrained Multi-Robot Exploration With Adaptive Communication Windows#1069999
- Graph-Based Orchestration of Heterogeneous AI Models: A Control Node Approach to Composite Intelligence#1344959
Record · ID 1389495
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