Free Download ROS 2 Robotic Arm Mastery MoveIt2, Gazebo & VLA Models
Published 8/2026
Created by Ferbin Richard
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English + subtitle | Duration: 116 Lectures ( 3h 41m ) | Size: 1.3 GB
Build, simulate and control a robot arm with ROS 2, URDF, MoveIt2 and Gazebo, from first joint to pick-and-place
What you'll learn
Requirements
Description
This course contains the use of artificial intelligence.
Learn to build, simulate and control a robotic manipulator from the ground up, using ROS 2 and
MoveIt2.
Most robotics courses stop at mobile robots. This one goes where the jobs are: manipulation.
You will build a complete robot arm from an empty file, describe it in URDF and Xacro, give it
physics and controllers, plan collision-free motions with MoveIt2, attach a gripper, and
finish with a full pick-and-place system you can put in a portfolio.
Everything runs in simulation. No robot hardware required.
You start with the fundamentals: links, joints, degrees of freedom, and the maths that
actually matters for manipulation. Transforms and kinematics are derived on screen, not
asserted on a slide. Then you build: URDF and Xacro, meshes and collision geometry,
ros2_control, and spawning your arm into Gazebo with real physics underneath it.
From there you go deep on MoveIt2 across a full section: the Setup Assistant, OMPL planners,
the planning scene, joint versus Cartesian goals, and RViz MotionPlanning. You will also cause
failures deliberately and fix them on camera, because reading an error message is the skill
that actually transfers.
What sets this course apart: a full section on world models and Vision-Language-Action
policies, covering where learned methods genuinely help, where classical planning still wins,
and how the two fit together. Very few manipulator courses touch this at all.
You will also cover grippers and grasp mechanics, force closure, attach and detach so the
planner treats a grasped object correctly, camera and depth perception feeding into
manipulation, reinforcement learning foundations, and an honest look at the sim-to-real gap.
By the end you will have built a working manipulation stack end to end, and understand every
layer well enough to debug it when it breaks.
Who this course is for
Homepage
Code:
https://www.udemy.com/course/ros-2-robotic-arm-mastery-moveit2-gazebo-vla-models
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