Oversigt over projekter i I4.0 Lab

Oversigt over projekter i I4.0 Lab

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Eksternt støttede projekter

Made Digital (2018-2020)

Industrial partner: Bang & Olufsen A/S
Description: The idea is how to program a robot equipped with polishing tool to smoothen the sharp edges of cutted metal sheet.

 

Industrial partner: Danfoss A/S and Danish Technological Institute (DTI)
Description: The aim of this sub-project is to develop and demonstrate flexible feeding systems. Traps for vibratory feeders that can be 3D printed are automatically designed based on CAD data of parts. Similarly, a vision system is setup automatically for pose estimation of parts. This enable a robot to kit part trays or assemble complete products.

 

Industrial partner: LEGO A/S, DTI and Technicon ApS
Description: The idea is to demonstrate how a robot can be used to hold the injection moulding tool for cleaning, replacing the ejectors, overhaling and other manual jobs which are difficult without using a robot. 

 

Industrial partner: Vestas Wind Systems A/S
Description: The project seeks to find an automated solution to fibre layup placement in turbine blade production



Made Fast  (2020-2024)

Industrial partner: Danfoss A/S, LEGO A/S, Terma A/S, Novo Nordisk A/S, Vilux A/S, Jensen A/S, Technicon ApS, Universal Robot A/S,Siemens A/S, Kuka Gmbh, Danchell A/S and DTI
Description: MADE FAST runs for four years and is designed to help Danish manufacturing companies respond quickly to new customer requirements, gain knowledge of raw material, implement new solutions and increase productivity in a sustainable and efficient method. Over 50 business partners co-finance MADE FAST together with universities, university colleges, and GTS institutes. The project is supported financially by Innovation Fund Denmark, The Danish Industry Foundation, Confederation of Danish Industry Employers and more.

 


PIRAT

Industrial partner: Universal Robot A/S, Terma A/S and DTI
Description: This project is about programming by demonstration for assembly processes. The aim of the project is to empower non-programmers to setup robots for completing assembly tasks with high reliability. The programming will be accomplished via kinaesthetic teaching, which is shown to be an intuitive approach to programming robots.

 


RoboCluster

Industrial partner: AnyBody Technology A/S
Description:The purpose of the project is to establish an integrated simulation environment and physical work cell, which serve as a benchmark for verifying and validating continuous human-robot collaboration tasks in terms of safety and ergonomics.

R&D projekter (støttet af SDU)

  World Robot Challenge (WRS)

The World Robot Summit (WRS) is a robotic ‘challenge and exposition’ organized by the Japanese government to accelerate social implementation, research and development of robots working in realistic daily life, society, and industrial fields. 

 


Minimal Viable Production (MVP)

The idea is to have a network-oriented approach to have a minimal viable production setup by connecting different production modules such as storage, transport, conveyer and assembly cells through an information backbone software.


Robotic Discrete Timber Construction

The idea is to implement a more flexible configuration for assembly and screwing of complex objects on larger fabrication areas. Here are the most important features in this project:

  • Full workflow integration  
  • Full automation in one cell: automatic feeding of pieces, screw feeding/picking, automatic switch between phases
  • Robot cooperation: a new setup with one fixed “robot assistant” (pre-processing elements, making holes with a vertical drill, embedding nuts) and one “main robot” on a linear rail (assembly/disassembly)
  • Assembly Feedback (vision - localization of parts and features for precise assembly)


Model-driven robotic assembly

The project is about evaluation and design of the methods for mounting tasks using robots. The idea is to build a sensor system that enables the development of model-based design of assembly strategies.

 


Human-robot interaction/collaboration in Industry 4.0

The project is about the development of robot-human interaction. The goal of the project is to improve the ergonomics of interaction with robots and to enable the transfer of human skills to robots by recording human movements and forces.

 


EF-CPS: Error-Free Cyber-Physical Systems within an Industry 4.0 Platform

This project proposes tool-supported methodologies for combining various V&V techniques that are suitable for both modelling CPS applications and supporting automatic (semi)-formal analysis within an Industry 4.0 platform. V&V strategies will be applied to automate safety and reliability assessment processes of CPS.

 


RUST: Reliability, Usability and Security Assessment of Cyber-Physical Production Systems

The objective of the proposed RUST project is to develop a data-intensive decision-support framework that holistically optimizes reliability, usability and security in CPPS.



Up-chair robot (enabled robotic robots)

In canteens, chairs must often be put up at the end of the day prior to cleaning, which requires a significant amount of manual lifting. In collaboration with Enabled Robotics, the aim of this project is to develop an autonomous robot system to locate and put up chairs.

 


Bottom-up AI for I4.0 robots

Traditionally, industrial robots used for manufacturing are programmed for a specific task and are not able to dynamically change from one task, which for instance requires only a single robot arm, to a task which requires multiple robot arms. Setups today lack the ability to dynamically change, which is a vital, especially for SMEs who are interested in optimizing their production with automation. There is thus an opportunity for flexible multi-robot systems that have the capacity to dynamically adapt to different tasks in an ad-hoc manner. This project focuses on challenges related to decentralized coordination and local, autonomous robots in manufacturing contexts.