How to Make an Autonomous Mapping Robot Using SLAM

Поділитися
Вставка
  • Опубліковано 25 гру 2024

КОМЕНТАРІ • 57

  • @tejasgudi1169
    @tejasgudi1169 6 місяців тому +29

    You explained it better in just 5mins what my college was not able to teach me in one semester.

  • @circleofowls
    @circleofowls 6 місяців тому +28

    This is the best overview of SLAM that I've seen yet. Excellent presentation and just enough detail to get people started. I'd love to see a deep dive on getting ROS setup on a small rover like this.

    • @HafeezMohammedAbdul-d6n
      @HafeezMohammedAbdul-d6n 6 місяців тому

      me too
      i also want to go through nav2 package from scratch

    • @ArnaudMEURET
      @ArnaudMEURET 6 місяців тому +1

      Me too! Although it’s meaningless because it’s the first one. Data needs context. 😅

    • @lanealucy
      @lanealucy 5 місяців тому

      +1

  • @azmyin
    @azmyin 4 місяці тому +5

    Excellent explanation. Even being an active researcher in this field for over three years I myself couldn't have explained it any better

  • @nicos.6019
    @nicos.6019 4 місяці тому +1

    Really good video :) gives enough information to intrigue me into looking into the individual subjects further, but broad enough to not increase the length and complexity of the video. A real masterpiece of a video

  • @GrahamHilton-lf5zp
    @GrahamHilton-lf5zp 4 місяці тому

    Wow, well done! This has been explained better than my professors did over a two-week period!. Great Video.

  • @Viola-iu1ys
    @Viola-iu1ys 4 місяці тому

    your ability to connect with your viewers is unmatched!

  • @TNERA
    @TNERA 6 місяців тому +5

    Super! That is a nice easy explanation of SLAM. Well done!

  • @grinselbub
    @grinselbub 5 місяців тому

    Clear and direct explanation. Ideal starting point for further research. 👍

  • @TerragonAI
    @TerragonAI 26 днів тому

    Very interesting and good explanation 😊

  • @boostedhuman
    @boostedhuman 5 місяців тому

    Such a clear, concise explanation!

  • @24-dinitrophenylhydrazine29
    @24-dinitrophenylhydrazine29 6 місяців тому +2

    insanely easy to understand! thank you sir

  • @PhG1961
    @PhG1961 5 місяців тому

    Excellent, very well explained!

  • @BryanPerez-po4vx
    @BryanPerez-po4vx 5 місяців тому

    Thank you this was very informative, Great Job!

  • @vegardnybakeri8148
    @vegardnybakeri8148 11 днів тому

    Fantastic video. You explain very well. Can I also ask how you made these animations?

  • @cdslseoultech4967
    @cdslseoultech4967 6 місяців тому +4

    Hi Mr. Kai Nakamura, could you please tell me where you are able to get the walls for the arena? Is it custom or you buy it from online store? I have a project that needs such wall. Thank you in advance

    • @kaihnakamura
      @kaihnakamura  6 місяців тому

      I just contacted my professor and they told me the walls are custom made from rectangular thin plywood sheets and 3D printed parts. The curved walls are made by laser cutting a zig-zag pattern into the plywood, allowing it to bend. If you're interested in creating your own I could probably contact the lab staff and get the files needed to reproduce them if you're interested. Hope this helps!

  • @birendrakumar-gl5gq
    @birendrakumar-gl5gq 5 місяців тому

    Good video, Hoping to see some visual slam and VIO stuff

  • @delta3Robotics
    @delta3Robotics 5 місяців тому

    Nice work!

  • @Sugar3Glider
    @Sugar3Glider 5 місяців тому

    Terrestrial Scanner on a Roomba, nice.

  • @Deniz-ej5fx
    @Deniz-ej5fx 5 місяців тому +1

    Thank you so much bro! Even the most detailed tutorial didn't had the part that uses datas on python, and you have it on your website. One question though, which SLAM program did you use? I am planing to use lidar mapping with raspberry pi 4 and hector SLAM, but most of the online sources says it is too slow, any advice?

    • @kaihnakamura
      @kaihnakamura  5 місяців тому +1

      Thank you! For this project I used the gmapping ROS package for SLAM, but I've also heard that slam_toolbox is a good choice as well.
      gmapping: wiki.ros.org/gmapping
      slam_toolbox: wiki.ros.org/slam_toolbox

    • @Deniz-ej5fx
      @Deniz-ej5fx 5 місяців тому

      @@kaihnakamura thanks a lot, you gained a subscriber 😁

  • @ianwhaples3837
    @ianwhaples3837 7 місяців тому +3

    sometime in the future, would it be able to detect changes in the environment? where an obstruction has been added or a wall moved so that it can update it's map?

    • @kaihnakamura
      @kaihnakamura  7 місяців тому +3

      Currently, the robot is using the gmapping ROS package to map the environment which only works for static environments. However, there are other SLAM implementations in ROS that allow for dynamic maps such as slam_toolbox.
      gmapping: wiki.ros.org/gmapping
      slam_toolbox: github.com/SteveMacenski/slam_toolbox#lifelong-mapping

    • @ianwhaples3837
      @ianwhaples3837 7 місяців тому +1

      Cool, I gotta say this is a very well made video, I’m surprised at how small the Chanel is and I hope to see it grow.

    • @kaihnakamura
      @kaihnakamura  7 місяців тому

      Thank you so much! :)

  • @bobodude6152
    @bobodude6152 6 місяців тому +4

    Can i know what model of LiDar sensor did you use

    • @kaihnakamura
      @kaihnakamura  6 місяців тому +1

      It's an LDS-01 on top of a TurtleBot3: emanual.robotis.com/docs/en/platform/turtlebot3/appendix_lds_01/

  • @НикитаЗаал
    @НикитаЗаал 7 місяців тому +2

    Wow, really outstanding results! How many people were on this project and how long it took you to accomplish it? Are you planning to release the code for this project? Again, thank you for sharing!

    • @kaihnakamura
      @kaihnakamura  7 місяців тому +2

      Three people over the course of a seven week term. Unfortunately, I cannot share the code in its entirety due to academic policy (students next year would just be able to copy it). But I could share code snippets or point toward resources with some of the algorithms I used if you’re interested. Thank you so much for your interest in this project! :)

    • @HafeezMohammedAbdul-d6n
      @HafeezMohammedAbdul-d6n 6 місяців тому

      can u share me as well

    • @НикитаЗаал
      @НикитаЗаал 6 місяців тому

      @@kaihnakamura Yeah, it would be awesome! If you could share info about the hardest points, not in a code, but maybe as a theory, methodology or something similar. It could help others and i think will be a interesting material for your blog!

    • @kaihnakamura
      @kaihnakamura  5 місяців тому

      @@НикитаЗаал Just added some code snippets to my website here: kainakamura.com/project/rbe3002

  • @lashawngreen6475
    @lashawngreen6475 2 місяці тому

    What are the components you used to build it?

  • @hazielrc
    @hazielrc 4 місяці тому

    hey! Im searching for help using a Lidar sensor bc I have some errors with it, is there a way you could helpme?

  • @ClickingKeys
    @ClickingKeys 7 місяців тому +1

    I’m interested in creating an outdoor rover. In your opinion, would lidar work for accurate positioning in an outdoor environment, like a yard?

    • @kaihnakamura
      @kaihnakamura  7 місяців тому +1

      It's hard to say for sure if LIDAR would work well in an outdoor environment for your needs. One thing to keep in mind for the robot I used is that it only makes LIDAR scans parallel to the ground. This worked find for my needs because the only obstacles were the walls. But if the environment were full of obstacles shorter than the LIDAR sensor, then the robot would be unable to detect them.
      There are 3D LIDAR sensors that allow you to create point clouds in 3D, but these can be quite expensive. Some SLAM robots use a 2D LIDAR scanner in combination with a stereo camera to achieve the same effect. The robot in the video is a TurtleBot3, but I know the TurtleBot4 uses the LIDAR and camera approach. Hope this helps!
      turtlebot.github.io/turtlebot4-user-manual/overview/features.html

    • @ClickingKeys
      @ClickingKeys 7 місяців тому +1

      @@kaihnakamura I really appreciate your thoughts and input. I was considering using GPS, but realized I would need RTK to make it accurate enough and that’s a bit more expensive than I was hoping for.

  • @wafflebeaver
    @wafflebeaver 5 місяців тому

    Damn i wish this existed to map out existing spaces and floors. Would probably be very useful.to level floors

  • @ricardoburga1040
    @ricardoburga1040 4 місяці тому

    What model of Lidar sensor did you use?

    • @kaihnakamura
      @kaihnakamura  4 місяці тому

      It's an LDS-01 on top of a TurtleBot3: emanual.robotis.com/docs/en/platform/turtlebot3/appendix_lds_01/

  • @DenbotOrg
    @DenbotOrg 5 місяців тому

    Pure pursuit :) Go Skunkworks!

  • @SamraUrooj-d4u
    @SamraUrooj-d4u 6 місяців тому +1

    one video on mapping please

  • @maestromx19m40
    @maestromx19m40 6 місяців тому +1

    Can you make a video about mapping

  • @feelfreetofee
    @feelfreetofee 6 місяців тому +1

    ♥♥♥

  • @jack91522
    @jack91522 4 місяці тому

    Individual videos on each technique would be good. I’m not interesting in building anything just want to learn

  • @salh2665
    @salh2665 6 місяців тому

    ❤❤❤❤

  • @betahex3589
    @betahex3589 5 місяців тому

    where can i find the source code? thanks

    • @kaihnakamura
      @kaihnakamura  5 місяців тому

      Unfortunately I can't share the source code in its entirely because of academic policy (this was part of a school project so next year's students would just be able to copy the code). But I just added some code snippets to my website for some of the important bits along with links to additional resources: kainakamura.com/project/rbe3002

    • @Pomegrante460
      @Pomegrante460 3 місяці тому

      @@kaihnakamuraIs this an undergraduate class project?

    • @kaihnakamura
      @kaihnakamura  3 місяці тому

      @Pomegrante460 Yes! RBE 3002 at WPI

  • @varshneydevansh
    @varshneydevansh 4 місяці тому

    Subbed