1.1K
VSTraining minds to build machines
#vs_tech_horizon #education #innovation #dogrobot #vstechhorizon
@vstechhorizon
#Ai Coding Copilot Programming Languages Robot Illustration
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IRWe used the LeRobot SO101 at the Physical AI Hackathon, and it ended up being a huge reason we could move so fast.
LeRobot is fully open source, which means you can 3D print it, source the parts yourself, or just buy a pre-assembled version if you want to get started quickly.
What really makes it stand out though is the software. It comes with solid, well-designed libraries that let you teleoperate the robot, collect real-world data, and train models without spending days on setup. For a hackathon environment, that ease of use matters a lot.
If you’re new to robotics — or you’re coming from ML and want hands-on experience with real hardware — this is honestly one of the best entry points I’ve seen.
If you want the link to the repo (pretrained models + plugins included), comment “robot” and I’ll share it.
#robotics #machinelearning #physicalai #lerobot #huggingface
@irene.karrot
1.4K
KAAt the AI Summit, this tiny robot dog quietly stole the spotlight.
What looks playful at first glance is actually a compact demonstration of modern robotics fundamentals — mechanical design, wireless control, and real-time motion coordination coming together in a small footprint.
This mini quadruped robot was being controlled wirelessly, responding instantly to operator inputs — showcasing balance, gait control, and precise actuator timing. No theatrics. No hype. Just engineering doing its job.
Demos like this are important because they remind us of a key truth in robotics and AI: intelligence doesn’t start with autonomy — it starts with control, stability, and repeatability.
Before robots think, they must move reliably. Before AI decides, hardware must obey physics.
These systems may look simple, but they form the foundation for future use cases in inspection, research, training, surveillance, and hazardous-environment operations.
Real progress in robotics isn’t about making machines look human — it’s about making machines predictable, robust, and deployable.
🔹 Technical Breakdown (Accurate, Non-Exaggerated)
What’s clearly happening here:
🦿 Mechanical System
Quadruped (4-legged) configuration for inherent stability
Likely servo-based actuators at each joint (hip + knee)
Rigid metal frame → better torque handling than plastic shells
Rubberized feet for grip on smooth indoor surfaces
📡 Control & Communication
Wireless teleoperation (likely RF / 2.4 GHz / Bluetooth-class link)
Operator sends motion commands → robot executes predefined gait patterns
This is human-in-the-loop control, not full autonomy
🧠 Intelligence Layer (Important distinction)
This demo is not showcasing AI decision-making
No visible perception sensors (LiDAR / depth camera) on the dog itself
Motion is probably:
Pre-programmed gait sequences
Stabilized via basic IMU feedback (gyro + accelerometer)
👉 And that’s perfectly fine — this is how serious robotics starts
⚙️ Why this matters
Every advanced robotic system — from Boston Dynamics-style platforms to defense or industrial bots — starts with:
Mechanical reliability
Control accuracy
Latency-free communication
Predictable motion under load
@kaelvoss_official
95.2K
PRI let AI vibe code my robot dog? What could go wrong? 🥹🐾
@prettywiredbuilds
13.3K
BYBYTE-01 is a four legged robotic dog built as a research robot for defense robotics, using BLDC motors, cycloidal gearboxes, real-time control, computer vision and autonomous navigation. It has a modular docking mechanism with which we can change the end effector according to our purpose of usage.
#quadruped #robotics #roboticscommunity #engineering
@byte_01_
1.8K
IRMost robotics projects don’t fail because of the model — they fail because the task and data aren’t clear.
At the Physical AI Hackathon, we started by defining one concrete goal: plug into a socket and turn on a switch. Once the end task was clear, everything else became about collecting high-quality data.
We used LeRobot, an open-source leader–follower robot that makes teleoperation intuitive. By moving the leader, the follower mirrors the motion in real time, letting us record clean demonstrations.
Each successful teleoperated run is called an episode, and these episodes become the training data for the policy. Instead of maximizing quantity, we focused on clean, consistent trajectories and collected ~100 episodes to kick off training.
Clear task definition + good data is the foundation for everything that comes next.
Follow to see how we trained multiple models on the same data — and what actually worked.
@irene.karrot
1.6K
NEWe built a mini robo-dog in our first semester! 🦾
Meet Raj, Rishit, and Izaz – first-year CS & AI students from Newton School of Technology – Bangalore, who built a fully functional quadruped robot from scratch.
A quadruped robot is a four-legged walking machine inspired by animals like dogs and horses. Unlike regular vehicles, it can navigate rough and uneven terrain – making it useful in real-world applications like search and rescue, exploration, and more.
What went into the build:
ㆍThey designed the robot using inverse kinematics and crawl gate mechanics – the math that tells each leg exactly where to move and when
ㆍThey coded it in Embedded C on an Arduino Uno – the brain behind every movement the robot makes
ㆍThe robot controls 12 servo motors simultaneously via a PWM servo motor driver – giving each leg precise, coordinated movement
ㆍAlong the way, the team also picked up CAD modeling and PCB design using KiCAD – skills that came directly from building this prototype as a part of their first semester robotics project.
Behind this build is NST-SVYASA's robotics culture – state-of-the-art lab access, mentors who specialize in robotics and bring real-world experience into every session, and a philosophy that puts simulation and hands-on building above theory. Students here don't just learn robotics. They're given the freedom to own it.
#quadrupedrobot #robodog #roboticsproject #roboticsengineering #newtonschooloftechnology
@newtonschooloftechnology_blr
2.4K
ALRobotics and IoT shouldn’t be limited to expensive hardware or broken lab kits.
With SudarShan AI Simulation Labs, students can design circuits, test sensors, run Arduino simulations, and experiment with IoT devices — all in a virtual environment.
Unlimited experiments, zero risk and real learning.
Bring future-ready Robotics learning to your institution. Connect with LearniX today.
#LearniX #RoboticsEducation #IoTLearning #FutureOfLearning #AISimulationLabs
@alanscott.learnix
7.1K
HUThe spin of happiness 🤣🤣🤣 Curiosity RoboDesk a 3D printed robot designed in OnShape CAD software with ESP32 microcontroller #engineering #robotics #esp32
@husnimarwan
468
ACRobot just learned to see like humans #ai #robotics #ESP32
This video demonstrates a robot car upgraded with an AI expansion pack, showcasing its ability to perform road sign recognition and tracking. The robot then exhibits silky-smooth tracking capabilities as it follows a path and interacts with different colored objects. This advanced robotic car highlights the exciting developments in AI and robotics, making it a compelling watch for anyone interested in the future of intelligent machines.
#acebott #CodingForKids #engineering #arduino #HandsOnLearning
@acebott.robotics
13.2K
HUCuriosity RoboDesk is curiously patrolling 😆😆😆 3D printed robot design with an ESP32 microcontroller. #esp32 #engineering #robotics
@husnimarwan
193
XPRobotics is moving from labs to real-world deployment.
The demand now is for engineers who understand Physical AI and autonomous systems.
If you’re serious about a career in robotics, start hands-on.
Join XP Skills and build what the future runs on.
[physical ai, robotics careers, autonomous systems, automation, ai engineering]
#XPSkills #PhysicalAI #Robotics #Automation #AIEngineering #FutureSkills
@xp.skills
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