LCM Robotics Linz
- Johannes Mayr (Institute for Robotics)
- Lukas Proprentner (Institute for Robotics)
- Alexander Reiter (Institute for Robotics)
- Andreas Müller (Institute for Robotics)
- Hubert Gattringer (Institute for Robotics)
- Daniel Reischl (Linz Center of Mechatronics)
The Institute for Robotics at the Johannes Kepler University Linz is a well‐established and reputed research institution in the area of industrial and mobile robotics. It closely cooperates with the Linz Center of Mechatronics where more than 150 people work in various fields of mechatronics.
A. Müller is a full professor at the Institute for Robotics at the Johannes Kepler University Linz starting in October 2014. Until September he is associate professor at the University of Michigan – Shanghai Jiao Tong University Joint Institute. His main research interests are manipulator dynamics and kinematics, multibody dynamics, model‐based and passivity‐based control.
H. Gattringer is associate professor at the Institute for Robotics. His main research fields are modeling and control of flexible link/joint robots, walking machines and industrial robotics.
C. Stöger and J. Mayr pursue their PhD at the Institute for Robotics.
All other team members (A. Reiter, L. Proprentner) are MSc students at the Institute for Robotics. Their research topics are mobile robotics (wheeled robots and walking machines).
The team has a solid expertise in all topics relevant to this challenge (mobile robotics, flexible manipulators, vision, object recognition, path planning, navigation, obstacle avoidance, control). The institute of robotics has a track record of high‐ranked publications.
A. Müller and H. Gattringer have been leading a number of research projects. They have more than 100 scientific publications in various fields of robotics.
As the main interests of research of the participants are in the field of robotics most skills of the participants comply with the skills needed for the challenge. The team members have made contributions to mobile robotics [1,6] as well as to the control and optimization of industrial [3,4,5] and bipedal robots .
The participants have the expertise in the ROS environment required for this challenge. Several custom built mobile robotic platforms of the Institute for Robotics are using ROS as middleware system to interface the real time control [8,9]. Additionally last year a workshop teaching the ROS basics was held at the Institute for Robotics (ROS Hackathon at Robin).
Several videos of research activities can be found on the Youtube© channel of the institute . The complementary scientific background of the team members will be important for the successful conclusion of this challenge.
- Berndl G., Springer K., Gattringer H., Simader J.: Adaptive optimal path planning and nonlinear model predictive control for a nonholonomic ultraflat overrunable mobile robot, Proceedings of the Austrian Robotics Workshop 2014
- Mayr, J.; Gattringer, H.; Bremer, H.; Bipedal balancing control based on the centroidal momentum pivot and the best COM‐CMP regulator, Proc. 39th IEEE Ind. Elec. Soc. Conf, (IECON) 2013
- Springer K., Gattringer H., Staufer P.: On time‐optimal trajectory planning for a flexible link robot, IMech, J. Sys. Cont. Eng. 2013
- Gattringer H., Riepl R., Neubauer M.: Optimizing Industrial Robots for Accurate High‐ Speed Applications, in: Journal of Industrial Engineering, 2013
- Staufer P., Gattringer H.: State estimation on flexible robots using accelerometers and angular rate sensors, Mechatronics, 2012
- Gattringer H., Rohrhofer A., Höbarth W.: Modelling and Control of a Mini Segway, Proc. Int. Conf. Comp. Intelligence, Robotics and Autonomous Systems, CIRAS 2008