The factors of success in the context of the digital factory are the inclusion of human within the manufacturing process as well as the consideration of their individuality and experience. Assistive systems act an important role in this field. The challenges of a nearby collaboration of human and robot without security fences are topics of recent advances in the area of research known as human robot interaction (HRI). One primary objective within this field is the cooperation in manufacturing tasks considering the efficiency and security issues.
The research topics of the project CompleteMe are
- the development and verification of an appropriate reference architecture to integrate single workingcells equipped with collaborative human robot assistive systems into a network.
Crosslinking different assistive systems will support the transfer distribution and exchange of experience and knowhow across single work station and is a crucial point in future manufacturing plants. The actual proposal is focusing on knowledge about task balancing between human and robotic system in the collaboration of both. The design of an appropriate structure to represent such processes of cooperation is one additional topic of the project. It comprises
- robotic assistive systems for the manufacturing area with the special ability to balance tasks between human and robot in a flexible way. The experience and efficient solutions for the collaboration in the single working cell will be modelled and distributed to provide other assistive systems in the network.
The result of the project CompleteMe is an appropriate representation for modelling collaborative manufacturing tasks and their balancing between human and robot based on their skills and experience. The second major result is the development and evaluation of reference architecture to integrate various assistive systems into a compound network to share and distribute balancing strategies. The models will be demonstrated on the basis of a use case in the area of automotive manufacturing and the help of simulation methods to emulate a larger network of assistive systems.
Collaborative, dynamic distrubtion and execution of assembly tasks between human and robots
FFG – 1. AS Produktionsstandort OÖ 2050. Industrie 4.0_Wissenschaft
01.06.2015 – 30.11.2016
- Sharath Chandra Akkaladevi, Matthias Plasch, Andreas Pichler, Bernhard Rinner, Human Robot Collaboration to Reach a Common Goal in an Assembly Process, accepted for publication at ECAI 2016
- Sharath Akkaladevi, Martin Ankerl, Christoph Heindl, Andreas Pichler, Tracking multiple rigid symmetric and non-symmetric objects in real-time using depth data, ICRA 2016
- Sriniwas Chowdhary Maddukuri, Gerald Fritz, Sharath Chandra Akkaladevi, Matthias Plasch, Andreas Pichler, Trajectory planning based on activity recognition and identification of low-level process deviations, Austrian Robotics Workshop 2016
- Sharath Chandra Akkaladevi, Martin Ankerl, Gerald Fritz, Andreas Pichler, Real-time tracking of rigid objects using depth data, Austrian Robotics Workshop 2016
- Sharath Akkaladevi, Christoph Heindl, Action Recognition for Human-Robot Interaction in Industrial Applications, IEEE International Conference on Computer Graphics, Vision and Information Security (CGVIS), 3. Nov. 2015
- Sharath Akkaladevi, Christoph Heindl, Alfred Angerer, Juergen Minichberger, Action Recognition in Industrial Applications using Depth Sensors, Austrian Robotics Workshop 2015, May 07 – 08, 2015
- Martijn Rooker, Sriniwas Chowdhary Maddukuri, Jürgen Minichberger, Christoph Feyrer, Helmut Nöhmayer and Andreas Pichler, Interactive Workspace Modelling for Assistive Robot Systems with the Aid of Ultrasonic Sensors, Proc. of the International Conference on Flexible Automation and Intelligent Manufacturing (FAIM), 23 – 26 June 2015