Project Title: Researching Digital Solutions for Increasing Productivity in Manufacturing Logistics Systems Workers
Project ID: 2017-1.3.1-VKE
Duration of the project: 01/11/2017. – 31.10.2020.
Consortium leader: Continental Automotive Hungary Kft.
Consortium partners: Budapest University of Technology and Economics, Gamma-Digital Kft.
Value of the support: € 566,568,431
The project integrates a wide range of activities in manufacturing logistics into a coherent set of objectives
system. For this, it formulates and implements a system of professional processes that is built on one another but is well separated. The work plan is three one-year
section. For each stage, we have predetermined the output we expect, so the progress of the research process can be controlled by controlling the outputs. The research is comprehensive
besides scientific and trend analysis and the application of innovative technologies, which are indispensable for identifying the right directions, a concrete technical system in operation
The concept plan will also be completed in the first two thirds of the project. The end result of the project is the physical implementation of a unique and advanced complex material handling system suitable for the automotive industry.
integrating efficient and automated material handling, transfer and warehousing processes with cost-effective and forward-looking technologies, while meeting the strict requirements of suppliers
lined up. The project is being implemented by three partners unique in Hungary in their field. Continental Automotive Kft. Is one of the most significant and perhaps best known in Hungary
automotive supplier. He is committed to forward-looking and environmentally conscious engineering and is the industry’s flagship carrier 4.0. The Budapest University of Technology and Economics is the most significant
Technical University in Hungary. The organizational units involved in the project have extensive experience in construction engineering, material handling, logistics IT and automation and
manufacturing systems, robotics, manufacturing design, production management and production optimization. Gamma Digital Ltd. has experience in a large number of automation projects, its main area of operation is the development of automation solutions.
Research and Development Objective:
Our aim is to create the domestic knowledge base, supplier group, who will be able to further develop the system developed during the project and integrate it with other similar Hungarian companies.
PROJECT TITLE: DEVELOPMENT OF A DRIVER FORKLIFT FLEET WITH SYNERGIC COOPERATION IN NAVIGATION TECHNOLOGIES
Project ID: GINOP-2.2.1-15-2017-00097
Duration of the project: 02.10.2017. – 09/30/2018.
Consortium leader: GAMMA-DIGITAL Development and Service Limited Liability Company
Consortium partners: Pázmány Péter Catholic University, Óbuda University
Value of the support: $ 159,800
The project will develop driverless trucks and new fleet management systems using new technologies. With the help of new technological solutions, we are creating cheaper, more cost-effective and widely applicable systems that are less expensive than the current one. The novelty of the developed system lies in the localization primitives used, the adaptive sensor fusion methods used, and the routing and optimization methods used by forklifts.
Research and development goal
Our research and development goal is to develop a driverless truck fleet management solution and prototype that assumes several innovative components that are not yet available in this application:
Positioning based on a heterogeneous sensor fleet (radio frequency, laser scanner, machine vision and light signals) that provides the required precision indoors and outdoors, even on uneven ground.
On-board and system-level adaptive sensor fusion procedures that guarantee a smooth transition between the use of different localization technologies, for example, from indoors to outdoors.
Synchronized route optimization procedures to distribute floor pressure as evenly as possible to protect floor and truck wheels.
Dynamic route planning and track tracking solutions that ensure that forklifts can effectively avoid each other while on track, while still delivering on time.
Mapping (radio frequency and visual anchor points) and cooperative models supporting positioning and navigation functions for the exchange of information between forklifts to ensure sharing of their experience of environmental change, including terrain structure, soil roughness and road obstacles.
A framework for interoperability and knowledge sharing between forklifts that enables rapid, coordinated exploration of the environment during system deployment and operational processes, thus aiming at cost efficiency (eg using simpler sensors) and minimizing system downtime.