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VisionTrack

Dependencies

  • universal_robot
  • robotiq

Environment

  • Ubuntu 20.04
  • ROS Noetic
  • Gazebo

Usage

1. Launch the Gazebo simulation (Terminal A):

roslaunch ur5_gazebo ur5_gripper_sim.launch

Gazebo Simulation

2. Launch the MoveIt simulation (Terminal B):

roslaunch ur5_gripper_moveit ur5_moveit_planning_execution.launch

MoveIt Planning

The simulation includes UR5 manipulator, Robotiq gripper, and a reachable RGB-D camera.

3. Run the control script (Terminal c):

rosrun ur5_control pose_get.py

Features Implemented

  • Modified URDFs to combine UR5 and Robotiq gripper for both description and Gazebo
  • MoveIt configuration for UR5 with gripper
  • Gazebo environment setup
  • Basic motion control:
    • Robot state read/write
    • Gripper open/close
  • 2D pixel to 3D world pose transformation for building blocks

To Do

  • Train YOLO prediction model
  • Predict grasp points and execute grasp control
  • Implement reinforcement learning-based planning