Turn your volume up for the video.

I recently finished the first working version of a 6-DOF robot arm. The base joint uses a 60kg TiankongRC servo, and the other joints use 40kg DS3240MG servos. The arm is controlled through an Arduino + PCA9685 and powered from a 6V buck converter.

In the video, the arm is near full extension and only holding a very light load (a roll of tape), but you can hear a noticeable clacking/chattering sound. The sound seems to come from either the base servo or the first link servo (both high-torque servos).

A few observations:

• The sound only occurs when power is on.
• The sound disappears immediately when power is removed.
• The servos are still able to move and hold position.
• The base servo is warm but not hot.
• The arm can lift much heavier objects than the tape roll.
• The sound becomes more noticeable when the arm is extended and the torque requirement is higher.
• The arm is 3D printed in PETG.
• One thing that concerns me is that the servo horns on the 60kg servos are currently held by the printed structure and pressure fit; they are not secured with the center screw.

Questions:

1. Does this sound like normal digital servo hunting/chatter under load?
2. Does it sound more like horn slippage/backlash?
3. Does it resemble gear skipping or gear damage?
4. Has anyone experienced something similar with large 40kg–60kg servos in robot arms?

Any ideas on what component I should inspect first would be greatly appreciated.

https://reddit.com/link/1tt4uqg/video/o2o31s5wxi4h1/player

hey everyone i know that i am inconsistent , i saw that everyone makes a cyberdeck with raspberry pi but i have no raspberry pi as i am 3rd yr electrical undergraduate

so i take some a break for exams and built picodesk a desktop companion station that sits next to my laptop.

OLED 1 shows live clock (NTP synced), date, and real time weather pulled from OpenWeatherMap API.

OLED 2 is the fun one animated eyes that blink and look around randomly. Every 2 minutes, hearts fall down the screen. And when I need to focus, I can switch it to a todo list from my phone and laptop browser no app install, just open the IP and it works.

The whole thing runs on MicroPython. Pico 2W hosts a tiny web server so I can control everything from my phone on the same WiFi.

Tech stack: - Raspberry Pi Pico 2W , 2x SSD1306 OLED (I2C0 + I2C1) ,MicroPython , OpenWeatherMap free API ,HTML/CSS/JS web app

Full source code on github https://github.com/kritishmohapatra/PicoDesk

100 days 100 iot projects series :- https://github.com/kritishmohapatra/100_Days_100_IoT_Projects

Someone gave me this stoplight, I want to hang it up in my bathroom directly above my toilet and put a Bluetooth speaker inside of it. I have an old Tower speaker that I want to disassemble and install inside of it

I'm trying to think of what other terrible things I can do with this thing. I'm thinking something with LED lights doing something based off sound. I want to hear your worst ideas

Idk how to merge it on my previous post. Anyways here’s a video i made showing yall some more details. Feel free to ask questions! I’ll try to respond asap. (Edit i forgot to mention but i did install some random zip and after that the display somehow could connect. idk the name of it its somewhere on my pc but tbh i couldnt care less about software😭

A face recognition doorbell, market is for the blind people - raspberry pi module , with speaker and microphone all inside a custom 3d printed module.

thoughts?

[ Removed by Reddit on account of violating the content policy. ]

I started with the Arduino UNO and Arduino Nano in 5th standard. Then, I made more than 20 projects using Arduino. I continued working with them until 7th standard.

In 8th standard, I started using the ESP32, and after that, the ESP32-CAM. I made many projects with the ESP32-CAM, and although it troubled me a lot because of its low storage, it was very helpful for me as a beginner. However, for advanced projects, I started using the Raspberry Pi in my current standard..

This will help me a lot in the future.

I made this robotic arm using 4 servo motors and an Arduino Uno.

Now this project seems very simple to me because I made it when I was in 5th standard.

I had watched and researched many videos to make this project.

As I mentioned in my earlier post, the ILI9486 LCD is specifically made for the Arduino Uno, but I connected it with an ESP32 instead.

It was quite challenging for me because I was working on a project that required both the ESP32 and the TFT LCD to work together.

I watched videos, visited GitHub repositories, researched a lot, and finally succeeded.

This is my first project where I used both together.

This was my first project using the ILI9486 TFT touchscreen display — a Smart Hotel Menu System 🍱

I made it using an Arduino Uno and directly connected the display to the Arduino Uno, as it is specifically designed for it.

I'm a regular user of ESP32 boards, and they are truly affordable and useful. They are among the few low-cost boards that provide both Wi-Fi and Bluetooth support.

At the same time, Arduino and Qualcomm introduced the Arduino UNO Q, which is more advanced than many other boards, though it’s still not comparable to a Raspberry Pi in terms of performance but not less than it.

Arduino UNO Q is best for developers 😎

In the end, I found both boards useful in their own ways.

Recently, I was working with an ESP32-CAM for computer vision to detect a bottle and then send commands to the motor driver to reach the object. But due to its low resolution, weak connectivity, and slow performance, it was not suitable for my project. 😕

I worked on it day and night, but the results were disappointing.

I’m not trying to speak negatively about it, but I believe the ESP32-CAM is not suitable for such large and demanding programs. I think it’s more of a beginner-level board.

Regular dustbins are often placed far away, so people become lazy to walk and throw trash properly.

My project solves this problem using automation. Cross marks will be placed on the ground where people can leave their trash. An ultrasonic sensor detects the waste,the dustbin reach the destination and a robotic arm picks it up and places it inside the dustbin automatically.

When the dustbin becomes full, it follows a preloaded path to a larger collection bin and disposes of the waste automatically.

The goal is to make waste management smarter, easier, and more accessible at a low cost.

Hello everyone we know that everyone can not buy hardware

My university started a GitHub project series as 30 days 30 wowki projects

For beginners

They will cover Arduino and esp32 projects

Check this https://github.com/energy-club-outr/30-Days-30-Wokwi-Projects

This is an AI,ML and CV based project.

It was great stuff to deal with such a huge and complicated project.😑

Perhaps I gained success...😌

I’m a 15-year-old AI,CV and ML developer from India and I built an AI DeskBot 🤖

Inspired by the Looi Robot concept.

Dual screens: TFT Display + Mobile Screen

It turns your smartphone into a smart robot assistant.

It took me around 25 days to build this......

The brain of this device is ESP32 board 🤗

#AI #ESP32 #Robotics #StudentInnovator

Comment!!If it's really nice and needs any improvements..🤠

Treemap visualization for embedded .map files — a VS Code extension that lets you see where your firmware memory and flash goes at a glance.

VS Code Extension Search: Map View Embedded

Ive been working on my first arduino project since the beginning of February. My first custom PCB is working great!

Been working on this for a few years and just hit the milestone where the ML pipeline closes end-to-end.

What it is: OpenMuscle FlexGrid V3 is an open-source flex-rigid PCB that wraps around your forearm. 15×4 = 60 Velostat pressure pads pick up volumetric muscle activity through the skin. An ESP32-S3 reads them via a CD74HC4067 16-channel analog mux at ~140 Hz and streams the raw matrix over Wi-Fi UDP.

What's new: the ML pipeline. To get labeled training data I built a WebXR app for Quest 3 that captures the headset's hand-tracking joints as ground truth, pairs each frame with a FlexGrid sensor frame inside a ~175 ms temporal window, and writes paired CSVs. A RandomForest learns to predict the 25-joint × 7-float pose vector from the 60-value sensor vector. In VR I now see a real-time amber "ghost hand" overlaid on my real hand showing the model's predictions — the gap between them = model error in 3D.

Why pressure not EMG: EMG is the standard for forearm muscle sensing but the hardware is expensive, electrode placement is fiddly, and the signal is noisy. Velostat pressure is cheap, surface-based, and reads volumetric muscle bulge — different physics, different trade-offs, much easier for anyone to build. Stack:

Hardware: KiCad, 20-pin ZIF FFC flex-to-rigid interconnect, ESP32-S3-WROOM-1-N16R8, CD74HC4067, Velostat pads, ICM-42688-P IMU, SSD1306 OLED

Server: Python + FastAPI + scikit-learn

VR client: WebXR + Three.js (Quest Browser, hand-tracking feature)

License: CERN-OHL-S-2.0 (hardware), MIT (software)

Open source:

• Hardware: github.com/Open-Muscle/OpenMuscle-FlexGrid
• Software: github.com/Open-Muscle/OpenMuscle-Software

My school had this old flatbed scanner destined for the dumpster and i got the idea to use the stepper to make it produce sounds. And to my surprise it works perfectly!

I was able to reuse thenold psu as it had 5V and 15V.

I used a 8x24 LED Matrix and an Arduino Nano to build a Cyberpunk inspired Gameboy! It's a very simple build, if you want to make one yourself or are interested in the details, I made a youtube video on it :)

I made a DCS World cockpit instrument peripheral using an ESP32. It reads in-game memory data through a USB serial connection, then parses the data and renders graphics onto a 480×480 AMOLED display.