ToMM - Collaborative Team of Man and Machine
Reference number | |
Coordinator | Linköpings universitet - Institutionen för ekonomisk och industriell utveckling |
Funding from Vinnova | SEK 4 350 000 |
Project duration | January 2013 - September 2015 |
Status | Completed |
Venture | FFI - Sustainable Production |
Call | 2012-02183-en |
End-of-project report | 2012-03685eng.pdf (pdf, 469 kB) |
Important results from the project
The overall objective is to evaluate the possibilities, the flexibility and the requirements for establishing a collaborative team of a robot and an operator (HRC). The objectives of the project are to: Increased knowledge of emerging technologies for HRC Develop physical and/or virtual demonstrators viewing possibilities and needs for HRC oOne for placement of light-weighted objects with a huge size oOne for heavy lifting in few variants oOne for heavy and large component assembly Identify areas to further develop in order to affect future regulations and technology
Expected long term effects
The technologies in the area of HRC are emerging rapidly and the standardization work globally is intensive. Several robot suppliers are launching new collaborative robots with different solutions for safety management. However, up to now it is only possible to implement a light-weight robot in a collaborative assembly task after performing a careful risk assessment. The project evaluated three cases and the analysis gave i.e. safety is a crucial aspect to solve in a HRC cell, it is challenging to implement a HRC in an assembly task on a moving line and the operator must be involved.
Approach and implementation
The three cases where selected by the industrial partners as potential task suitable for human-robot collaborative assembly. The placement of panels and the heavy lifting was demonstrated both virtually and physically on a conceptual base. The assembly of a heavy and large component was only demonstrated virtually. The analysis is cross cased based and support the theory in the area that indicates the need for industrial case driven research in this field for the moment.