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Welcome to the shared_autonomy_perception wiki!
This repo provides a framework designed for testing shared autonomy for perception in the context of manipulation. Thus, in addition to an implementation of Grabcut3D and human-machine interfaces, it includes a state machine that performs a simple table-clearing task (using MoveIt! for the manipulation parts). It also has the tools required for comparing fully autonomous ORK cluster-based segmentation with grabcut's human-assisted result.
The following diagram provides an overview of how the different pieces fit together.
(assuming a PR2, but should be easily configurable to any robot controlled by MoveIt! with a kinect for perception) All the below should be done on the desktop unless otherwise specified.
- Install MoveIt!:
sudo apt-get install ros-hydro-moveit*
- Install PR2 specific packages:
sudo apt-get install ros-hydro-pr2*
- Install web packages:
sudo apt-get install ros-hydro-mjpeg-server ros-hydro-rosbridge-server*
- The rest assumes that your hydro workspace is
~/catkin_hydro
- Download the shared_autonomy_perception repo to both robot and desktop (master branch):
cd ~/catkin_hydro/src; git clone https://github.com/SharedAutonomyToolkit/shared_autonomy_perception.git
- Download Bosch's roslibjs fork into ~catkin_hydro/src:
git clone https://github.com/bosch-ros-pkg/roslibjs.git; cd roslibjs/utils
, and follow the install directions in the README. (On shelob, you'll probably only need to donpm install .; grunt build
) - Build the
js_hmi
interface (JS doesn't use catkin):cd ~/catkin_hydro/src/shared_autonomy_perception/js_hmi/utils; npm install .; grunt build
- Download the cluster_grasp_planner (extracted from arm_navigation, released as a single package):
cd ~/catkin_hydro/src; git clone https://github.com/bosch-ros-pkg/cluster_grasp_planner.git
, and we need the hydro-devel branch:cd cluster_grasp_planner; git checkout hydro-devel
- Install ORK, following the directions here
- (on robot):
roslaunch shared_autonomy_launch robot_hydro.launch
This is a slightly modified version of the /etc/ros/robot.launch file that starts the head-mounted kinect, but not any of the other cameras or the EKF localization. roslaunch shared_autonomy_launch move_group.launch
roslaunch shared_autonomy_launch moveit_rviz.launch config:=true
-
roslaunch shared_autonomy_launch clear_table_unified.launch use_grabcut:=true use_im:=false
This launches the rest of the nodes required for clearing the table. Use the command line arguments to switch between shared autonomy using grabcut (use_grabcut:=true
) and fully autonomous operation using ORK (use_grabcut:=false
). You can also switch between using the Interactive Marker interface to grabcut (use_im:=false
) and the JavaScript one (use_im:=true
).- If using Interactive Markers, be sure to add them to your rviz display.
- If using JavaScript, open this file in your browser: shared_autonomy_perception/js_hmi/pages/interactive_segmentation_interfaces.html
We had trouble with MoveIt!'s internal octomap. More information here
For information on creating and using logs, see the assemble_kinect package.
Several of the packages are obsolete:
- augmented_object_selection
- bosch_object_segmentation
- image_segmentation_demo
Others just contain example code:
- random_snippets
- webtools