<> == About == ||Robot Learning from Demonstration (LfD) research focuses on algorithms that enable a robot to learn new task policies from demonstrations performed by a human teacher. The `lfd` ROS stack contains implementations of LfD used and developed by the [[http://web.cs.wpi.edu/~rail/|RAIL]] research group at [[http://www.wpi.edu/|WPI]]. Currently, the classification based Confidence-Based Autonomy (CBA) algorithm is available via the [[cba]] package. || {{attachment:lfd.png}} || For additional details on LfD, please refer to the following publication: `Brenna Argall, Sonia Chernova, Manuela Veloso and Brett Browning. A Survey of Robot` ` Learning from Demonstration. Robotics and Autonomous Systems. Vol. 57, No. 5,` ` pages 469-483, 2009.` [[http://web.cs.wpi.edu/~rail/files/ArgallEtAlRAS09.pdf|PDF]] == Installation == To install the `lfd` stack, you can choose to either install from source, or from the Ubuntu package: === Source === To install from source, execute the following: {{{#!shell cd /path/to/your/ros/stacks git clone https://github.com/WPI-RAIL/lfd.git roscd lfd rosdep install lfd rosmake lfd }}} === Ubuntu Package === To install the Ubuntu package, execute the following: {{{ sudo apt-get install ros-fuerte-lfd }}} === Startup === Packages may contain test nodes which can be launched with their respective `.launch` files. Additional information on how to run each algorithm is discussed in their respective package wiki pages. Tutorials and example uses of these algorithms will be arriving shortly. == Support == Please send bug reports to the [[https://github.com/WPI-RAIL/lfd/issues|GitHub Issue Tracker]]. Feel free to contact me at any point with questions and comments. * [[Russell Toris|Russell Toris]] * [[mailto:rctoris@wpi.edu|rctoris@wpi.edu]] * [[http://users.wpi.edu/~rctoris/|Academic Website]] ---- || {{attachment:wpi.png}} ||<:99%> || {{attachment:rail.png}} || ## AUTOGENERATED DON'T DELETE ## CategoryStack