They have a 120:1 gearing ratio and two hall effect sensors on the motor. Should be more than enough to keep a robot in a roughly straight line and turn sometimes. 

What do you think the hall effect sensors are measuring? Speed or direction?

How are you controlling direction? Are you measuring the difference between the hall effect sensors to calculate direction?

I haven't built one of these, so I have no empirical support. It just sounds like you're looking in the wrong place.

Pi Hut some time ago and added them to a standard robot chassis similar to the one in this video: https://youtu.be/oQQpAACa3ac?si=rj-HZcn39TeYXuJv

They have a 120:1 gearing ratio and two hall effect sensors on the motor. Should be more than enough to keep a robot in a roughly straight line and turn sometimes. 

They're plugged into an arduino with a L298N Dual H-Bridge Motor driver as you would expect. It all "works", I can drive, get signals from the encoders, count them.

I wanted to create a simple differential drive robot for my niece to program to drive forward, turn right 90, etc. 

Simple coding fun for her I thought...

Months later I'm baffled and wondering if it's possible to get a reliable count off these encoders at all. It's not that they're hopeless, but they're inconsistent enough to have the robot consistantly veer off to one side or turn by much too much. The unreliability isn't quite reliable enough to just compensate for either. 

Has anyone out there ever got reliable movement from a robot equipped with these? I notice that although these robot car chassis with encoders often appear in videos, I've never yet seen one demonstrate controlled movement. 

If you have succeeded with encoders of this design (ideally exactly like mine) I'd be very grateful to know how you did it. Having given myself months to get this prepared I'm now down to weeks.

A great many thanks in advance. 

In this wireless age, having to connect a big, clunky cable to your microcontroller to get network access seems almost primitive. But there is nothing primitive about Ethernet; it offers a wealth of performance and security advantages over Wi-Fi.

And that’s not to mention Power-over-Ethernet, or PoE, which lets you use an Ethernet cable for both communications and power. Perfect for permanently installed IoT applications, cameras, and VoIP phones.

Today, we’ll see how easy it is to use Ethernet with the ESP32. We’ll learn a bit about how Ethernet works, including how to choose the right cable (and which type to avoid). Then we’ll grab an inexpensive Ethernet module based on the W5500 Ethernet chip and connect it to an ESP32.

After doing a few basic experiments, we’ll put together a simple web server that communicates via Ethernet for improved speed and reliability. You’ll see just how easy it is to use Ethernet in your projects.

Then we will look at a Waveshare board that supports PoE, and we’ll put together a web camera powered by PoE (you can also use it with another power source if you prefer).

Here is the Table of Contents for today's video:

00:00 - Introduction
01:41 - Ethernet
08:04 - W5500 Ethernet Module
11:22 - DHCP Test
16:28 - Ethernet Web Server
21:10 - Power-over-Ethernet
25:33 - WaveShare ESP32-S3-POE-ETH
29:00 - PoE Web Camera
35:42 - Conclusion

If you haven’t considered Ethernet for your next ESP32 design, I hope this video shows you why you might want to reconsider. Ethernet offers many advantages over Wi-Fi, and with modules like the W5500 and the Waveshare ESP32-S3-POE-ETH, working with Ethernet is very easy.

I hope you enjoy the video.

Bill

I was so impressed with my buddy Claude that I told him I am hiring as part of my development team. He said he's available 24/7 and would not even take a paycheck, lol.

He gives an interesting take on the use (misuse?) of ChatGPT

Disclaimer: I've gone sour on Paul McWhorter's video's. The last one I watched, Review of the Arduino Q: The Good, The Bad, and The Ugly, pushed me over the edge. My notes express my reaction:

Paul McWhorter's video became difficult to watch. I was sympathetic to start but by the end I was annoyed by the waste of time. That video shouldn't have been made. It was 60 minutes I'd like to get back.

YMMV

I really think 75 to 80% of the cubicle workers are going to lose their job in the next 18 to 24 months. Okay, the people working in cubicles are going to be replaced by artificial intelligence. And there's this kind of misconception out there right now that uh you know those typing prompts into chat GPT, they're using AI, they're on the leading edge, you know, they're they're all going to be okay. But guys, if your job is sitting and typing prompts into chat GPT, you're going to be replaced and you're going to be replaced really quickly.

::boggle::

The level of cynicism here is astounding. Employers pay three quarters of the mindless drone office workers to tap on keyboards with questions to ChatGPT? These are questions about how to do their job? And the employers are somehow collecting the responses and...what? Giving them to the remaining 25% of the office workers to automate the job of the 75%? And then what do you have? An automatic ChatGPT question generator?

This is something out of the Dilbert comic strip.

This does not show a firm grasp of the technology.

Hi Roger. I am not a young man either but I did start learning programming and how computers worked before home computers existed. I used to go to a store where you could buy used electronic stuff for my electronics hobby including used telephone hardware discarded as the phone company went solid state.

It is difficult to give help unless you have the same hardware. I have never used the Mac Tahoe (Mac computer?). I see the MaxArm is well supported.

https://www.hiwonder.com/products/maxarm

I would suggest that you learn Python for the Mac or RPi as well as Arduino C++ for the ESP32.

He gives an interesting take on the use (misuse?) of ChatGPT in AI on the Edge Lesson 1: Introduction and Class Overview

I'm gonna have to view this.

Do you mean the bulletin point where he states " if you are using chatGPT you are training your replacement" ?

Definitely need to view this.

Do you mean the bulletin point where he states " if you are using chatGPT you are training your replacement" ?

I don't care how he feels about AI. Everyone has their own take. His classes are very good especially for beginners. I have to watch him on 2x speed because, my gosh, there is a lot of fluff. 

Been a while since I have viewed Paul McWhorter utubes. I see he still starts with his cup of coffee.

He gives an interesting take on the use (misuse?) of ChatGPT in AI on the Edge Lesson 1: Introduction and Class Overview

https://www.google.com/search?q=Paul+McWorter+AI+class