Aleksandar Haber PhD
PAID ENGINEERING AND TRAINING SERVICES: If you need training, professional tutoring, or help with your engineering problem: we solve engineering problems and/or provide professional training (professional tutoring) related to machine learning, robotics, LLMs, ROS2, control, signal processing, multiphysics simulation, FPGA, COMSOL, C++, Python, MATLAB, embedded systems, optimization, etc. We have significant industry, research, and university-level teaching experience (professor at top universities in the world). Our work was funded by NASA, DoD, and companies.
Briefly describe your problem and introduce yourself via email, and we will send you a quote for our service. We only work with well-funded companies or individuals who can afford the US engineering and training rates. We don't work on short-term projects. Due to lack of time, we DON'T provide free help, free consultation, or free answers (do NOT send emails asking for free help or questions).
Contact: ml.mecheng@gmail.com
Aleksandar Haber PhD
Here is an almost 90 minute long tutorial on how to correctly and in a disciplined manner implement a position controller for a mobile robot in C++ and ROS2 Jazzy Jalisco from scratch:
https://www.youtube.com/watch?v=nWvDr...
1 month ago | [YT] | 13
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Aleksandar Haber PhD
Raspberry Pi 5 is an excellent solution for prototyping mobile robotics. However, the issues appear when you try to use power-banks and batteries in order to deploy Raspberry Pi 5 remotely on a mobile robot.
One of the main "issues" with Raspberry Pi 5 is that it is a power-hungry device which requires 5.1V and 5A. This is a non-standard power requirement since most standard USB-C type of adapters and power-banks provide 5V and 3A. You have to do all sorts of converter acrobatics to provide stable 5.1V and 5A, or you have to purchase a custom designed lithium-ion battery adapter. These custom adapters might be unstable, and you have to be very careful dealing with lithium-ion batteries.
Instead of doing all this, you can simply purchase a lightweight power bank with a standard AC outlet, and use the standard Raspberry Pi 5 adapter, and you are good to go. There are affordable 20,000-30,000 mAh - 80W power banks that weigh only 1-3 pounds on the market. Since they are lightweight, a smaller mobile robot can easily carry them, and in addition, you can use them to power-up a camera, lidar, etc.
Here is a YouTube tutorial on how to couple Raspberry Pi 5 with a power bank and how to test the power bank such that it meets the current and power requirements:
https://www.youtube.com/watch?v=N8kT0...
1 month ago | [YT] | 11
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Aleksandar Haber PhD
Alibaba just published the QwQ-32B model which is probably the best 32B parameter model that can be executed on a local computer. The performance is comparable to much larger DeepSeek 671B model. Here is a tutorial on how to install and run QwQ-32B model locally
https://www.youtube.com/watch?v=FSqbZ...
1 month ago (edited) | [YT] | 5
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Aleksandar Haber PhD
If you have a GPU with more 8GB of VRAM you can run this amazing text-to-video, image to video, and text to image model. The name of the model is Wan2.1. Here is a video tutorial on how to install and run this model locally. On my NVIDIA 3090 GPU takes around 7 minutes to generate 5-10 seconds of high-quality video material.
https://www.youtube.com/watch?v=4YGLx...
2 months ago | [YT] | 6
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Aleksandar Haber PhD
Here is probably the only tutorial explaining how to correctly implement AI agents locally using the n8n framework, Ollama, Llama, and other components. The tutorial is almost 45 minutes long and thoroughly explains all the steps you need to perform in order to run AI agents on your local computer. You do not need to have an OpenAI API and you do not need to pay a single cent to run agents on your computer that will access the internet, retrieve information, and process information. Also, this approach does not require knowledge of Python which significantly increases the spectrum of people who can implement AI agents. However, the implementation procedure is still not straightforward since there are a number of different components that need to be interfaced. Enjoy following this tutorial and consider supporting this channel for more free video tutorials:
https://www.youtube.com/watch?v=6S49k...
2 months ago | [YT] | 11
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Aleksandar Haber PhD
After more than 8 years of teaching and working with Robot Operating System 2 (ROS2), and after creating a number of popular tutorials and working with a number of students and engineers, we realized that the "best" and easiest entry point for learning ROS2 Jazzy might be the built-in Turtlesim simulation. This is a simplified 2D model of a mobile robot. However, the Turtlesim simulation has almost all the components that you need to implement in order to control a real robot using ROS2. By carefully studying this simulation and all the nodes/topics behind the ROS2 communication graph, you will get a solid understanding of how the ROS2 system works behind the scenes.
Here is a tutorial on how to start with the Turtlesim ROS2 simulation: https://www.youtube.com/watch?v=k3NHS...
2 months ago | [YT] | 7
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Aleksandar Haber PhD
Upon the request of a large number of subs and supporters, here is a tutorial on how to install and run RAGFlow locally with local LLMs on a Windows computer. This tutorial enables you to run privately and securely your own Retrieval Augmented Generation (AI) AI system, and to organize all of your documents in a functional database that can be searched and analyzed by a local LLM and an AI agent. Companies are paying a lot of money for something that they could do 100 time cheaper by using RAGFlow (or some other RAG systems that will be covered on this channel):
https://www.youtube.com/watch?v=DLI65...
2 months ago | [YT] | 5
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Aleksandar Haber PhD
Here is how to install and run locally a very powerful text-to-speech and voice cloning AI model called Zonos on a Windows computer. This model was originally developed for Linux Ubuntu, however, after a number of trials and errors I was able to run the model on Windows using WSL:
https://www.youtube.com/watch?v=oCWPh...
2 months ago | [YT] | 9
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Aleksandar Haber PhD
Here is proof of how AI tutorials and learning are popular nowadays: During the last week, we focused solely on AI tutorials. During the last week, this channel got more than 5,000 new subscribers and more than 250,000 views! This is an enormous amount of traffic. In sharp contrast, it usually takes several months for hardware, robotics and control tutorials to get this amount of attention and traffic. It seems that everyone is getting into AI. Is AI a bubble or a sustainable technology, only time will tell.
Here is a tutorial on how to install DeepSeek locally and securely with GPU:
https://www.youtube.com/watch?v=m1uq-...
2 months ago (edited) | [YT] | 43
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Aleksandar Haber PhD
Here is the easiest approach (explained in the video tutorial given below) for running distilled DeepSeek-R1 in a graphics user interface securely and locally on a Windows computer. Basically, by running DeepSeek-R1 inside of WebUI you can have almost the same experience as running a ChatGPT model.
Video tutorial: https://www.youtube.com/watch?v=m1uq-...
2 months ago | [YT] | 14
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