Robots Using ROS Part 3: TUM-Rosie, Marvin, CKBots, HERB

Robots Using ROS

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.

Previously Part I, Part II:

  • 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.