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This repo has different folders contaning different ways of doing visual servoing with different robots. The end goal is perform IBVS on aerial manipulator. (The approaches are not restricted to Gazebo sim)

C++ 53.22% Python 28.02% MATLAB 11.33% CMake 7.43%

image_based_visual_servoing's Introduction

Image Based Visual Servoing

This repo has different folders contaning different ways of doing visual servoing with different robots. The end goal is perform IBVS on aerial manipulator. (The approaches are not restricted to Gazebo sim)

LATEST - Implementing IBVS with franks robot in CoppeliaSim using the visp_ros package providd by inria.

For video demonstration - please download the webm files in your device

1. ROS - Visual Servoing IBVS with Blobs Detection

For IBVS_PointBased

Table-of-contents

More description is given in the subsections.

Dependencies

The following project is being tested with Ubuntu 18.04 LTS

Following libraries are needed:

The development part has been performed using CPP and ViSP:

  • ROS Melodic ViSP - sudo apt-get install ros-melodic-visp-*
  • ViSP - sudo apt-get install libvisp-dev libvisp-doc visp-images-data

Getting your marker in the Gazebo world:

Paste the 'marker0' folder in 'gazeboResources' into your gazebo resources directory.

Usually, this is a hidden folder in your 'home' directory, named '.gazebo'. Paste the 'marker0' folder inside '.gazebo/models/'. In your Gazebo, you'll now be able to 'insert' marker0, check the insert pane!

The 'qr.world' file available in 'world' folder contains a Gazebo world with a pattern containing 5 dots. Copy this world file in your turtlebot3 folder.

Process

The following code performs multiple operations to compute visual servoing task using ROS Melodic and a Turlebot.

  • Extraction of image from the Kinect ( and dependant topic) .
  • Manual initialization of blobs to be tracked
  • Tracking of blobs in successive image frames
  • Compute velocities to minimize error between current positions of blobs and their desired positions
  • Stop the velocity publishing and computation when error has dropped below a threshold.

Execution

Preliminary commands

You'll first need to do a minimal launch and a 3dsensor launch on your turtlebot (tip: use ssh!) Running the minimal launch and the 3Dsensor launch from ros.

  • minimal - roslaunch turtlebot-bringup minimal.launch
  • 3dsensor - roslaunch turtlebot-bringup 3dsensor.launch

Running PointsBased IBVS

  • Simulation : 1 : roslaunch turtlebot_gazebo turtlebot_world.launch world_file:='/world/NameofWorld.world' 2: rosrun IBVS_PointsBased IBVS_PointsBased_gazebo or rosrun project_vs IBVS_PointsBased_gazebo

2. Simple use of visp with ros-gazebo

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