Computer vision and robotics

This objective of this project is to use CV to find the joint angles of the robot and identify target and then use concepts of robotics to follow the target.

Prerequisite

Ubuntu 18.04
Python 2.7
ROS Melodic

Getting started

Download and Installation

Create a folder in your home directory, here we named the folder catkin ws, enter the folder and create another folder named src. You can do it via the terminal:

    $ mkdir catkin ws
    $ cd catkin ws
    $ mkdir src

Download or clone the repo to src folder using the instruction provided in Github.
Navigate back to catkin_ws in your terminal and enter catkin_make and source devel/setup.bash
After that enter nano ~/.bashrc and add the following two lines:

    source /opt/ros/melodic/setup.bash
    source ∼/catkin ws/devel/setup.bash

Navigate to src folder within downloaded folder and convert the python scripts into executable files by entering the following code:

    chmod +x image1.py image2.py target move.py

Run the robot simulator using roslaunch [folder-name] spawn.launch

Background

The description of each links are provided below:

To move the robot, you can use the command rostopic pub -1 /robot/joint1 position controller/command std msgs/Float64 “data: 1.0” or bash files called single_joint.sh or arm_move.sh in folder tools.
You are required to specify the joint number and the angles in rads in order to move.
To view the robot from both camera, run the file two_cam_open.py in tools.

Objectives

Following are the objectives and the corresponding files:

Find joint angles - 2_1_joint_estimation.py
Find the target location - 2_2_target_detection.py
Print the EE position - 3_1_FK.py
EE follow the target - 3_2_closed_control_loop.py
Find joint angles for the black robot (figure below) - 4_3_joint_estimation_black_robot.py

Authors

Moshen Khadem - created the ROS environment
Boniface Yogendran
Sahar Atif

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Boniface316/a200_y915