Draft:Vibe roboting

• Comment: Firstly, this is not written in an encyclopaedic manner, it is a chatty-style essay.
  Secondly, Wikipedia articles are meant to summarise what reliable sources have published about a subject. This clearly does not.
  Thirdly, we do not publish original research or thinking, and anything "proposed" (per the first version of this) is almost by definition not going to be notable. DoubleGrazing (talk) 10:02, 17 July 2026 (UTC)

---

VIBE ROBOTING When you need to get something to be done by physical robot, you are obliged to frame precisely how the robot should act and once you build it, it will perform this work and only this one, and forever. In other terms, you define the work to do, you create the framework of it, you build the robot and then the robot perform the work to do and it's frozen all along. This process is rigid, expensive, selective (only advanced industries can build them), needs months/years to be built. Vibe roboting is the exact opposite of classical roboting: What you imagine for your robot is what you can get by yourself without any specific skills, without big investments, without waiting for months or years to get the result. And you can reuse again and again your robot to build new work. What you imagine is what you can get as a robot! This is what is "Vibe roboting" The concept The concept is based on AI models called VLA models (Vision‑Language‑Action) like the known for classical AI i.e LLM's (Large Language Models) These models are specific to robotic and their characteristics are that they are connected to the robot and they learn from the robot movements. More you teach the robot on what it need to perform, more the AI model is able to reproduce the teaching in autonomy. We can here actually say it is properly "Machine" Learning :) As a result, if you can teach physically something, you can build a robot that will do the same in complete autonomy! Amazing, non technical skills, no engineering skills, no complex infrastructure, no expensive costs, no long time to market. Applications Basic repeating arms/hands movements are the main first target of vibe roboting. That's why you can buy one or two robotics arms for less than 2K$, connect them to the AI model via a computer (powerful one, around 5K$ but can of course be reused to train other robotic device endlessly) and teach them what to do by moving by yourself, twins arms connected to the robotic arms. In vibe coding, you describe in natural language what you need and you get the digital app according to that, no need of conding skills or any other technical skills to create your digital app, to host it and to access to it via an URL, all it's done behind the scene automatically and in total autonomy. Likewise, vibe roboting is similar to vibe coding because like in vibe coding, you can build a robot just starting from your need and you ability to show and teach it to the robot, yes, you just show, teach the robot and it's done. No need of something else and it can be operational in days. Then you can keep the robot doing the manipulations you tache or rebuild new movement scenario again and again. So, early applications could be in manufacturing plants where there are some post manipulation activities to be done after production like "opening a carton, take a bottle and erase a wrong batch code stamped, reput the bottle into the carton" This is maybe done by humans that are clearly doing it as a kind of chore and are more than happy to transfer to robots What next? You could even deduct it yourself that new incoming companies are created to sell AI Models that already have some standard movements integrated (https://cyberwave.com/models) and of course they brought quality and acceleration to help you onboard robotic quickly and efficiently in your environment with a pragmatic affordable cost. Strategy Now that you get the sens of this revolution, you can understand that even early robotic companies like Boston Dynamics, Tesla have moved to this concept and are creating humanoid robots based on. Market As there are millions of software companies, there are less than 10K companies around this new wave of robots. That means, the market will grow a lot and in a very fast way in the next months and years and we can assume that will use robotic like we use our smartphone.

Definitions A Vision‑Language‑Action model (VLA) is a neural network architecture used in robotics that takes visual observations (such as camera images or video streams) and natural‑language instructions as input, and directly outputs robot actions, including joint commands, motion trajectories, end‑effector poses and gripper control. References Vibe coding Optimus_(robot) Boston_Dynamics Ready VLA models https://www.pi.website/research/memory https://cyberwave.com/models