Understanding Autonomous Navigation in ROS2: Mapping, Planning, and Execution

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In this video, we dive into the process of autonomous navigation for robots in ROS2 simulation or the real world. Starting with setting up the robot and producing sensor scans, we explore mapping techniques such as online SLAM and g-mapping to create an occupancy grid. We then integrate the navigation stack with the help of YAML files and explain the role of local and global planners and costmaps in executing robot movement.
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Great video. I appreciate the balance you found between concise and informational.

atticusrussell
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Great video as an introduction to autonomous navigation, very explicative and well detailed, thank you very much!

jesussilvautrera
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Very very informative. Keep making these kind of videos Sir. Thanks

tauseefafzal
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This is for sure one of the best channel about ros.
I really like you clean structure and you explanations.

However it would be awesome, if there would be a section on how to implement an own nav2 stack including behaviour tree and how the behaviour tree corelate/communicate with the different servers (planner server etc.) with action server. Moreover how to swap or delete or add server.

Have you any plans on this for the future?

trannamtruong
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Thank you so much bro! do you have any plan for nav2 plugin add for other path planner or behavior tree lecture? It will be helpful a lot!

김도영-oe
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Informative, thanks for Luqman. Do you plan to release repo for this implementation?

adilfarooq
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Can you pls tell the colour description for ROS2 NAv2

arjunmangal
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Sir, i need to compare some path planners in ros2 humble using my custom robot (simulation). How can i do it? can i use turtlebot packages and nav2 stack in doing so? Can you help me please

achayantearadhakan
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Thank you sir,
I have a question. If I have my predefined map as a dwg file, do you think that if I use it it will make things easier or harder?

waels