Ali Soltani

Graduation:
M.Sc.
Function:
Project engineer
Practice Areas:
AGV/floor conveyor, automation technology, machine learning
Phone:
+49 (0)511 279 76-232
E-Mail:
soltani@iph-hannover.de
vCard:
vCard
LinkedIn:
https://www.linkedin.com/in/ali-soltani-049412110

Publications

The constantly increasing demands on the efficiency and effectiveness of intralogistics systems, combined with the need for adaptability through the use of autonomous and intelligent systems, are forcing the continuous development of innovative solutions. One way of meeting this development in a value-adding way is the intelligent integration of an automated guided vehicle system with unmanned aerial robots. This article presents the development of a concept for the use of a multimodal transport system.

milkrun, automated guided vehicle systems, aerial robots, multimodal transport system

Research projects