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@lujustin6682 жыл бұрын
Great video, makes the responsibility question easy to understand
@Hardwareai Жыл бұрын
Glad you enjoyed it
@andrewa67133 жыл бұрын
Good evening sir 😊 I was wondering if you could make a video about integrating hector slam with the navigation stack ?
@Hardwareai3 жыл бұрын
Good morning :) I could, but aren't there existing videos for this topic already? I made this particular one because 1) I wanted to try LIDAR and camera on Bittle 2) not so much information on the internet about V-SLAM for ROS
@andrewa67133 жыл бұрын
I would be very thankful if you send me one of these videos about this topic. Actually, you were the only one who made this kind of videos. Anyway, thank you sir for replying 😊
@ahmedaly66983 жыл бұрын
hi you said in the video that hector slam can be used to publish odometry to be later used in the navigation stack can you make a video or tell the guidelines how to integrate hector slam with the navigation stack thank you in advance (i finished hector slam controlling the robot using commands from the keyboard) side note:it is for a graduation project
@Hardwareai3 жыл бұрын
Right. Well, this video actually turned out to be more popular than I expected, so a continuation is a possibility indeed. Unfortunately I am super busy at the moment and probably will finish TinyML series first, despite that one wasn't very popular.
@ahmedaly66983 жыл бұрын
@@Hardwareai if you aren't able at the moment to make a video if you know the main steps how to integrate them both it would be extremely helpful to just tell me the main steps
@andrewa67133 жыл бұрын
What a coincidence ... it will be something great as it’s for my graduation project too.
@marktadlock5428 Жыл бұрын
Thank you for being helpful about slam software
@Hardwareai Жыл бұрын
Glad it was helpful!
@DSEC_Siddhanthvjain Жыл бұрын
can we use this SLAM in VOXL with the help of ROS in it
@witchking643 жыл бұрын
Thanks for this! I'm looking into implementing vision/pov into movement so your explanations help a lot
@Hardwareai3 жыл бұрын
You're very welcome!
@pewpewpistol4 жыл бұрын
That's a really small lidar! Where can I look that up? 5:40 mark, for later
@Hardwareai4 жыл бұрын
You can get it here www.seeedstudio.com/RPLiDAR-A1M8-360-Degree-Laser-Scanner-Kit-12M-Range.html
@MemoxCid9 ай бұрын
How did you run RVIZ in your raspberry so fast? I cant run RVIZ in my raspberry because is so slow...Great Video
@Hardwareai9 ай бұрын
I think it mentioned in either video or the article that I don't run RVIZ on Raspberry Pi? It's not recommended to do that. Instead you run one ROS node with image / LIDAR/ robot driver on the robot itself and another ROS node with RVIZ on your PC.
@MemoxCid9 ай бұрын
@@Hardwareai Is it posible to do this communication between Raspberry and PC using docker in both?
@Hardwareai9 ай бұрын
@@MemoxCid yes, here is the link wiki.ros.org/docker/Tutorials/Docker
@grqfes2 жыл бұрын
im trying to use slam with an array of phototransistors close to the ground which would pick up white lines on the playing field for robocup soccer. this would also let it autonomously navigate. do you think its possible? how difficult would it be to set that up? i have around 5 months deadline
@Hardwareai Жыл бұрын
Okay, considering that was 9 month ago (sorry, was busy with my MSc at that time, replying to all old comments now).... That would be a very interesting task - but you will need a highly custom algorithm for that. Are you okay with using a cheap camera module(s) instead>
@chiragsorate8393 жыл бұрын
Can you plz make a video on step by step implementation of this SLAM technique
@Hardwareai3 жыл бұрын
I have published a supplementary article for more details. Is there something that needs more detailed explanation?
@devanshuchaudhary57003 жыл бұрын
Visual slam using ORB-SLAM was performed completely on raspberry pi or on a seperate master PC??
@Hardwareai3 жыл бұрын
The answer is in the video ;) but yes, it is performed completely on R Pi - that's why I'm using newer Raspberry Pi 4 for ORB-SLAM.
@devanshuchaudhary57003 жыл бұрын
Will it work on Ubuntu 20.04?
@ppowell12123 жыл бұрын
Thanks for the video. I run a small nonprofit theatre. I'm looking to navigate small wheeled scenery pieces with an electric motor on and off stage. To drive themselves from point A to point B and back again. (they don't need to move fast) What you are doing seems similar, I just want to do it with wheeled platforms. Any thoughts on a model I could emulate to accomplish this?
@Hardwareai3 жыл бұрын
Model? I don't think a neural network model is necessary for that. Wheeled navigation will be a bit easier, just get LIDAR + motors with encoders. ROS packages are available for making Navigation work with this stack.
@ppowell12123 жыл бұрын
@@Hardwareai Thanks. Forgive me, what is an ROS package?
@Tetsujinfr4 жыл бұрын
Thanks for your efforts on testing those components in the wild. Always good to see real world perf vs marketing videos bs. Keep up the good work!
@Hardwareai4 жыл бұрын
Thank you for the feedback! Real world performance wise, Bittle actually exceeded my expectations - I didn't think it would be able to even start with LIDAR and Pi 3 connected, because of the current draw, let alone walk/crawl and even (do not try this at home) jump. Hector SLAM performance was adequate. ORB-SLAM2 didn't not perform well - in the video you can see Path messages are mostly correct, but occupancy map doesn't make any sense. That can be issue about settings/camera height, but even if these issues are resolved, the camera still moves way too much during walking, so I don't think monocular SLAM is an option for Bittle. Would be interesting to try stereo.
@Tetsujinfr4 жыл бұрын
@@Hardwareai usually blur is a killer for feature matching. Fyi I am using a zed camera @ 100fps and it supports pretty fast movements, provided there is enough light (it does have an IMU to help track very fast/short rotation type of movements too). I did not experience with Lidar but your testing is cool, and I appreciate that achieving something with a rpi is quite something.
@antonwinter6304 жыл бұрын
thanks for sharing the results.
@Hardwareai4 жыл бұрын
My pleasure!
@iwoaugustynski92654 жыл бұрын
Another inspiring video. Great work!
@Hardwareai4 жыл бұрын
Thanks so much!
@pafcunha1004 жыл бұрын
Hi bro first of all nice work! Can i use Ubuntu MATE 20.04.1 LTS? Also, could u make a step by step video on install and usage? Thanks
@Hardwareai4 жыл бұрын
Thank you! Well, is there any reason to use 20.04 instead of 18.04 currently? 18.04 is more stable and from running it on Raspberry Pi has almost the same features. I understand it is newer, but unless it has features that you require and are not present in previous version, newer is not always "better" :)
@osaydhussein2582 жыл бұрын
Did it work for you ?
@DSEC_Siddhanthvjain Жыл бұрын
@@osaydhussein258 can we use this SLAM in VOXL with the help of ROS in it pls help
@HemangJoshi2 жыл бұрын
Awesome bro...,👍👍👍
@Hardwareai2 жыл бұрын
Thanks ✌️
@Tamingshih Жыл бұрын
nice job!
@Hardwareai Жыл бұрын
Thank you! Cheers!
@AryanKapur06052 жыл бұрын
Can you please make a human following car using this hardware
@Hardwareai2 жыл бұрын
You mean Bittle?? It's not a car though xD
@michaelzajac5284 Жыл бұрын
It's a free download, isn't it?
@Hardwareai Жыл бұрын
what is?
@kimagurerobo3 жыл бұрын
Awesome!!! Thank you!
@Hardwareai3 жыл бұрын
You're welcome!
@melihaslan95093 жыл бұрын
Awesome I learned something new
@Hardwareai3 жыл бұрын
Glad to hear it!
@levbereggelezo4 жыл бұрын
Very good 👍
@Hardwareai4 жыл бұрын
Thank you! Cheers!
@DSEC_Siddhanthvjain Жыл бұрын
@@Hardwareai can we use this SLAM in VOXL with the help of ROS in it pls help