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#slam_toolbox — Public Fediverse posts

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  1. Mapping w/o Localization

    Got slam_toolbox mapping with localization turned off, but managed to figure out how to serve up a better looking map from my house floor plan.

    The weakness of dead reckoning becomes very evident with the floorplan map.

    Next up - with and

  2. SLAM - First Attempt

    My ir2scan node is working well, but setting the 52 params is a mystery.

    My create3_navigation slam.launch.py (using LIDAR parms modified for Create3 IR "distance" sensor scan), with Wali facing a wall, maps a wall!

    (bouncing around in angle in front of bot...)

    As I proceed to drive Wali around the room, more walls enclosing a "known to be open" space are mapped, but not where the sensors and put them.

  3. - - !!!

    async mapping:
    - Pi4 15% CPU (2% of RPi4)
    - Pi5 5% CPU (1% of RPi5)

    Much prefer configuring and running ROS 2 native on on Pi4 than configuring Docker on Pi5.

    rViz2 in Ubuntu 22.04 in VM on Mac OS showing map and path.

    slam-toolbox async in Docker on PiOS 64-bit Bookworm on Pi5 (2 ssh sessions)

    on Ubuntu 22.04 on Pi4 (4 ssh sessions)

    All talking to each other - pretty impressed with

  4. After 2 years my finally knows how to navigate - I'm amazed by and

    Here's Humble Dave doing , , and now

    youtu.be/WYWc8XweKGE

  5. Now we're making progress. Humble Dave managed 10 minutes of wandering the kitchen before needing assistance and did not suffer any instantaneous deaths. I'm very impressed with mapping and localization.

  6. Loving on my

    3 hours 47 minutes "life" with on-board synchronous running, and a little driving around the room: