An Industrial Perspective on Multi-Agent Decision Making for Interoperable Robot Navigation following the VDA5050 Standard
van Duijkeren, Niels, Palmieri, Luigi, Lange, Ralph, Kleiner, Alexander
–arXiv.org Artificial Intelligence
Abstract-- This paper provides a perspective on the literature and current challenges in Multi-Agent Systems for interoperable robot navigation in industry. The focus is on the multiagent decision stack for Autonomous Mobile Robots operating in mixed environments with humans, manually driven vehicles, and legacy Automated Guided Vehicles. We provide typical characteristics of such Multi-Agent Systems observed today and how these are expected to change on the short term due to the new standard VDA5050 and the interoperability framework OpenRMF. Approaches to increase the robustness and performance of multi-robot navigation systems for transportation are discussed, and research opportunities are derived. I. INTRODUCTION Multi-robot navigation encompasses an ever-tighter integration of a vast number of disciplines and research as in most of finalized components to storage locations.
arXiv.org Artificial Intelligence
Nov-24-2023
- Country:
- Europe (0.93)
- North America > United States
- California (0.14)
- Genre:
- Research Report (0.40)
- Industry:
- Automobiles & Trucks (0.94)
- Transportation
- Ground > Road (0.68)
- Infrastructure & Services (0.68)
- Technology: