Real-time Visualization of Robot Operation Sequences
Paper in proceeding, 2018

Evaluation of manufacturing systems requires large amounts of accurate data from the factory floor. This data is then processed to calculate Key Performance Indicators (KPIs), evaluation metrics used within the manufacturing industry by engineers and managers in order to make data-driven decisions. Mechanisms to capture large scales of usable data, which is both reliable and scalable is, more often than not, scarce. In this paper, we provide an approach to capture data from robot actions, which can be applied to both legacy and current state-of-the-art manufacturing systems. By exploiting the robot code structure, robot actions are converted to event streams that are transformed into a higher usable abstraction of data. Applicability of this data is demonstrated, primarily, by visualizations. The described approach is developed in Sequence Planner - a tool for modeling and analyzing production systems - and is currently implemented at an automotive company as a pilot project to visualize and examine what goes on on the factory floor.

Performance evaluation

Sequence estimation

Data acquisition

Manufacturing systems

Industrial robots

Data streams


Ashfaq Hussain Farooqui

Chalmers, Electrical Engineering, Systems and control

Kristofer Bengtsson

Chalmers, Electrical Engineering, Systems and control

Petter Falkman

Chalmers, Electrical Engineering, Systems and control

Martin Fabian

Chalmers, Electrical Engineering, Systems and control


24058963 (eISSN)

Vol. 51 11 576-581

16th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2018
Bergamo, Italy,

Engineering Tool Chain for Efficient and Iterative Development of Smart Factories (ENTOC)

VINNOVA (2016-02716), 2016-09-01 -- 2019-08-31.

Subject Categories

Production Engineering, Human Work Science and Ergonomics


Computer Science



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7/7/2021 2