DIY Laser Scanner with TfMini and Raspberry Pi | ROS Tutorial for beginners #7

[@MikeNewham]

Hey, I just wiped my Chromebook and switched to Ubuntu to follow this series! Only have 30GB storage to spare. Hope its enough for ROS , Kinetics etc.. Learning all the time..

[@prandtlmayer]

it should be enough. ROS can be tough in the beginning... only because there are a lot of possibilities. once you've embraced the logics, it becomes much simpler

[@nodakhunter]

I just found your channel. I have been self learning programing for 6 years now as a hobby. I have played with ROS and Arduinos. I want to thank you for educating through your channel. I know it is going to be a great resource for my projects. Please keep making these videos.

[@prandtlmayer]

Next video: a proper 360 Lidar introduction

[@ORIGASOUP]

are u planning to do the ROS project with Nvidia Jetson nano?

[@prandtlmayer]

If I can get my hand on one, yes

[@shrijank522]

Hi, Great video. But can the rotating lidar be implemented in Gazebo? Like how to add the lidar to the motor in the URDF file

[@prandtlmayer]

Ok, that is going to be the subject of one of my next videos!

[@shrijank522]

@@prandtlmayer Thanks alot. Hope to see it soon :)

[@williamsbobadilla4604]

Muy buen video! Gracias por compartirlo

[@vicradon]

Thank you sir Tiziano for this well explained video I have a question Can I carry out map generation from the laser scan messages?

[@atreyabhat]

Hello, Great video, I am actually trying to implement this using a hcsr04, and using an stm32 nucleo and Arduino IDE. I am gettting the messages(an array of 90, 1 measurement every 2 degrees) , tf is fine, but not able to see the plot on rviz. Do u have any suggestions Thank you

[@saiashupathirajan.c3162]

It is a great video and you have used tf mini plus lidar rasperrypi ros to laser scan.I would like to have python code of tfmini plus lidar to find distance between lidar and object. I run tfmini.py file using tfmini plus to find distance, but it comes with error.

[@DavInci-13816]

Hai fatto un bel progetto...bene spiegato! Bravo! Grazie.

[@vincenzomarturano8133]

Great video! Can you make a video on how to use this data for obstacle avoidance?

[@alfredranasinghegemadushan5094]

Hi Tiziano, I've tried running this as well as multiple other of my python programs on my raspberry pi for my Lidar sensor and nothing seems to function ever, the error I seem to get is inappropriate ioctl for device, I was just wondering if you could help

[@prandtlmayer]

I have not seen this error yet. Have you tried to google your problem?

[@captainobvious9949]

Make a video on how to interface the lidar with raspi

[@yogeesh5420]

Sir can you please provide Matlab code for Vehicle detection .. I wat to run This using Raspberry Pi 4

[@prandtlmayer]

Can't do, no matlab license

[@FPChris]

I guess there are no lidar sensors with enough precision to scan 3D objects.

[@prandtlmayer]

This video is just a way of showing ROS tools using a practical example

[@tepantor666]

Hi, Can you please give the component names, with models. For example, what is the i2c bus component name/link?

[@prandtlmayer]

Check the description now: I put that in there

[@alilou1xx487]

Hi Tiziano can you do path planning with Ros

[@ryanbayona409]

Hey Tiziano! Is there a way to control 3 TfMinis? How can I do that using your setup?

[@prandtlmayer]

You just create a publisher node for each one of them

[@ziadomar6960]

Hi, why do I get minimum readings of 30 when my hand is literally sticking to the Tfmini? I think my measurement scale is messed up, any help please?

[@prandtlmayer]

Hard to say. The laser has a minimum dead zone of about 30 to 40 cm for the mini and about 10 to 20 for the plus

[@ziadomar6960]

@@prandtlmayer Yeah I figured that's the case, thanks a lot! Love your videos btw

[@gersonfer]

Hello, great video and very good didactic! I crashed here looking for a virtual fence solution for my robot.

[@prandtlmayer]

Virtual fence? Wow, keep me posted. Check what they already do in Ardupilot

[@rithu02]

Hello Tiziano! First of all, amazing tutorial, I really loved it. I'd like to ask one question though. Can we do the same thing by replacing the TFmini lidar with an IR sensor like the SHARP sensor? And also, would you recommend replacing the servo motor with a DC motor to get a 360° map?

[@prandtlmayer]

Dc motor and encoder it's surely the way to go. A servo is neither fast nor accurate. The video was just an introduction and an example. Sonars, yes, they can work as well. As a matter of fact it depends on your application. If you need a simple obstacle avoidance (as I did in the video before with sonars) or SLAM (as in the next video). Keep in mind that sonars are slow, very slow

[@miguelllaja4974]

Hi Tiziano, Is it posible to use this sensor for SLAM?

[@prandtlmayer]

Not really this one, a servo does not provide for a good enough angular accuracy. Either you change the servo for a stepper motor or you include a potentiometer and directly measure the angle. Then yes, you basically have a lidar

[@miguelllaja4974]

@@prandtlmayer I'll see how it goes with a stepper, thanks.

[@drvlog4285]

It is a great video. Thank you so much!!!!!!

[@prandtlmayer]

thank you for watching

[@minayakarimova]

Huge thanks. But we have a problem. when laserbeam does not return back, the lidar-hokuyo yvt-35lx does not show it; We want that the lidar should show sth weird value or 0 when the laser beam does not return the sensor. What do you think about that?

[@prandtlmayer]

You need to add some timeout check for that. Read, wait, then process the result.

[@minayakarimova]

@@prandtlmayer huge thanks! May i get your contact for instance, email or sth else to ask sth if i have any difficulty on that? It would be a great chance for me to make connection with you.

[@prandtlmayer]

Just post your questions here

[@minayakarimova]

@@prandtlmayer okay, i'll do

[@minayakarimova]

@@prandtlmayer what is used for timeout?

[@WelcomeToMyDream]

You made that look easy :) Very cool!!

[@prandtlmayer]

It is easy... Once you have figured out

[@AntonioLemos66]

Parabéns pelo projeto !