Name
Abstract | ||
|---|---|---|
Summary form only given. Factory logistics constitutes a major bottleneck for mass production, creating a need for significant optimization. Unfortunately, today's technology for factory logistics automation is still in an early stage of development and its deployment in the factory requires a trained staff and involves several time-consuming, costly, inflexible and sometimes even error-prone manual tasks. Therefore, the overall project objective of PAN-Robots is to develop, demonstrate and validate a generic automation system for factory logistics in modern factories based on the use of advanced automated guided vehicles (AGVs). The PAN-Robots consortium proposes a new generation of flexible, cost effective, safe and green AGVs that will be able to transport material and products in modern factories autonomously, intelligently and efficiently. In order to achieve this project objective current technologies need to be significantly enhanced and a number of new approaches and technologies need to be developed. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICCP.2015.7312595 | 2015 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP) |
Keywords | Field | DocType |
plug & navigate robots,smart factories,mass production,optimization,factory logistics automation,generic automation system,modern factories,advanced automated guided vehicles,PAN-robots consortium,flexible AGV,cost effective AGV,safe AGV,green AGV | Computer vision,Bottleneck,Software deployment,Factory,Process automation system,Computer science,Simulation,Manufacturing engineering,Artificial intelligence,Robot,Logistics automation | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fuerstenberg, K. | 1 | 5 | 1.20 |