Robots Using ROS Part 3: TUM-Rosie, Marvin, CKBots, HERB
The third installment of Robots Using ROS features robots big and small:
- TUM-Rosie: TU München built a Kuka-based mobile manipulation platform to research robots with a high-degree of cognition.
- CKbots: the Modlab's small, modular robots are too small to run ROS themselves, but they can connect to a ROS system to test algorithms that need a bit more horsepower.
- Marvin: the autonomous car from Austin Robot Technology and UT Austin competed in the DARPA Urban Challenge and has now been ported to ROS.
- HERB: the mobile manipulator, based on a Segway RMP200 and Barrett arm, was built to be a "robotic butler" and is used as a collaboration between Intel Pittsburgh and Carnegie Mellon University.
- Care-O-bot 3: Fraunhofer IPA's mobile manipulation platform has broad support for ROS. The accompanying open-source repository includes everything from device drivers to simulation in Gazebo.
- Bosch RTC's robot: Bosch RTC's Segway RMP-based robot has been used to develop new ROS libraries, including an exploration stack.
- EL-E and Cody: Georgia Tech's Healthcare Robotics Lab has released drivers and has also released code to accompany research papers.
- Kawada HPR2-V: the JSK Lab at Tokyo University has
integrated this omni-directional variant of the HRP-2 with the ROS navigation stack.
- Prairie Dog: the Correll Lab at Colorado University
uses this iRobot Create-based platform for teaching and research.
- STAIR 1: the Stanford University mobile manipulation research platform that provided the predecessor of the ROS framework.
- Aldebaran Nao: a small, commercially available humanoid robot that demonstrated the ability of the ROS community (Brown University and University of Freiburg) to come together and develop open source drivers.
- i-Sobot: an even smaller humanoid robot controlled by the ROS PS3 joystick driver. The developer has been publishing a Japanese-language blog on ROS, helping ROS reach new audiences.
- Junior: Stanford Racing's autonomous car that finished a close second in the DARPA Urban Challenge. Junior's main software framework is IPC, but ROS's modular libraries have made it easy to integrate ROS-based perception libraries into their obstacle classification system.