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Active transfer learning with neural networks through human-robot interactions (TRAIN)

The project receives funding from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – No 430054590.

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Software / Datasets

We are developing a repository for real-time control of the FRANKA EMIKA Panda 7-dof robot arm.

Our project is based on ROS and allows to teleoperate the robot arm in real-time using motion tracking data provided by OptiTrack’s Motive software. 

GitHub Project and Links

  • https://github.com/ai-lab-science/Franka-ROS-TRAIN
  • Details on the robot hardware
  • Or on the developer site on world.franka.de
  • ROS Gazebo Tutorial
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