Course
Mastering Mobile Manipulators Python
Master how to create ROS applications for autonomous mobile manipulators
Course Overview
Description
Robot manipulators are mobile robots equipped with mobility, one or several robotic arms, and a gripper. They have the ability to autonomously move within an environment, detect objects to grasp, and grasp them to bring them to the proper location. They are widely used in warehouses to locate and bring stuff, in malls and airports to clean, in nuclear areas to access dangerous zones, and even underwater to reach difficult locations. Robot manipulators will be used even more in the near future as their skills improve.
In this course, you will learn how to build a complete ROS application to make a mobile manipulator fill a box with the proper objects obtained from another location.
Learning Objectives
- Do robot navigation in known environments.
- Use perception to detect the objects to grasp in the background.
- Move a robotic arm with a gripper to grasp an object.
- Create a complete application that integrates all these behaviors into a single ROS app based on State Machines.
- Create a web interface that allows people without ROS knowledge to control the robot’s operation.
Simulation robots used in this course
RB-KAIROS Mobile Manipulator Robot
What projects will you be doing?
Set Up the Navigation System
Mapping, Localization, and Path Planning with Obstacle Avoidance…
Create a MoveIt package
Create a MoveIt Package for the industrial robot in order to perform motion planning
Motion Planning
Perform basic Motion Planning through the MoveIt RViz GUI
Perception in MoveIt
Allow the robot to perceive the environment and avoid colliding with other objects
Set Up Manipulation
Perform motion planning with Python
Set Up Grasping
Object detection and Pick & Place
Program the Robot Behavior
Using FlexBe to create the behavior of the robot
Design Web Interfaces
Build a web interface to control the mobile robot manipulator using Javascript
What you will learn
Course Syllabus
Unit 1: Setting Up the Navigation System for a Mobile Manipulator
- Basic Navigation Concepts
- Creating a Map
- Using the Map for Navigation
- Localizing the Robot
- Path Planning and Obstacle Avoidance
- Navigation Without a Map
- Create a Table of Locations to Visit
- Create a Custom Program That Interacts With the Navigation System
- Create a Complete Navigation Launch
9 hrs.
Unit 2: Setting Up Manipulation (Part 1)
- Generating a MoveIt configuration package
- Define the self-collision matrix
- Define virtual joints
- Define Planning Groups
- Define Robot Poses
- Define End Effector
- Setup ROS Controllers
- Set Up Perception
- Basic Motion Planning
- Moving the real robot
- Add controllers for the Gripper
- Using Perception in MoveIt
12 hrs.
Unit 3: Setting Up Manipulation (Part 2)
- The moveit_commander
- Planning to a joint space goal
- Executing a trajectory
- moveit_python
- Move robot arm by Joint Positions
- Move robot arm by End Effector position
6 hrs.
Unit 4: Setting Up Grasping
- The simple_grasping package
- Detecting the graspable object
- Creating a pick and place task
3 hrs.
Unit 5: Creating the Behavior of the robot
- Create a basic behavior with FlexBe
- Creating a new behavior
- Creating an Actionlib state
- Adding the Pick&Place pipeline to FlexBe
- Full behavior pipeline
5 hrs.
Unit 6: Creating th Web interface
- Creating and running a web page
- Adding some styles to the page
- What is Javascript and how to use it
- Basic setup of Vue.js framework
- Publishing to a topic from a web page
- Controlling the robot from a web page
- Create a web joystick interface
- Subscribing to a topic from a web page
- Showing data in the webpage
- Showing the camera on the web page
- Showing a map on the web page
- Using ROS Action Servers from the web
- Launching the Pick&Place/Navigation system
13 hrs.
Unit 7: Project using the real robot RB-Kairos
- Safety measures
- Move RB-KAIROS robot
- Manipulation
- Robot Behavior
- Web Page for Control
5 hrs.
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What’s next
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