The FZI Research Center for Information Technology at the Karlsruhe Institute of Technology (http://www.fzi.de/) is a non-profit institution for applied research in information technology and technology transfer. Its task is to provide businesses and public institutions with the latest research findings in information technology. It also qualifies young scientists for their career in academics or business as well as self-employment.
The FZI Living Lab Service Robotics has rich experience in many fields of service and industrial robotics. For over 10 years FZI has developed innovative software and hardware solutions for complex challenges. The Lab develops new robotic technologies based on environmental sensing, robot control, grasp planning and human-robot interaction. A key research focus lies on mobile manipulation in industrial and domestic environments. The team has demonstrated its strong team spirit in a number of scientific projects, developed industrial applications and many robotic demonstrations at public events like trade fairs.
FZI acts as a Challenger, team coordinator and scientific partner in Team FLA2IR; FZI is also responsible for research and software development (perception, trajectory planning and execution).
Previous successful projects:
- BMBF – ISABEL (mobile manipulation in chip-production facilities), DESIRE (German service robotics initiative – flexible, autonomous manipulation)
- BMWi – viEMA (Innovative robot programming for flexible industrial applications), ReApp (Re-usable robotic apps for industrial and service robots)
- FP7 – DEXMART (Dexterous, dual hand manipulation of household objects)
- Vast experience in 2D/3D sensor technologies (PMD, SwissRanger, Kinect, Velodyne, Ibeo, Sick, Hokuyo, Ladybug, …) and robot manipulators (KUKA LWR, Schunk Powerball LWA 4P, Denso, …)
- Competence in mechatronics design from sensors and simple actuators to complex, articulated service robots (HoLLiE, LAURON V, KAIRO 3, …)
- Modular robotics control software framework MCA2
- High-level planning and perception integrated in ROS
- GPU-based collision detection, real time planning and monitoring