Hands-on Physical AI & Robotics Workshops in Bengaluru
Stop just prompting AI and start building with it. We bridge the gap between digital models and real-world robotics in our intensive, hardware-focused labs in HSR Layout.
See our technology in action as a robotic arm demonstrates its precision by plugging in a cable. Our training enables your team to build and program robots for real-world automation tasks.
Our workshop posters highlight the advanced technology we cover, including humanoid and quadruped robots. We focus on practical skills using cutting-edge tools like NVIDIA Isaac Sim and ROS 2.
This promotional graphic for our "Most Practical Physical AI Workshop" showcases the focus on humanoid robotics, a key area of study for participants looking to enter the field of advanced automation.
An announcement for our "Next Gen Physical AI Workshop," detailing the curriculum which bridges Large Language Models (LLMs) with physical machines for real-world control and application.
We stay at the forefront of AI, even using it to create promotional content. This video, made with generative AI, introduces our Physical AI workshop, where we teach how to apply AI to real-world robots.
About Physical AI Workshops
You don't need a high-end GPU or a theoretical background to get started here. We provide the full stack—from NVIDIA Isaac Sim environments to physical quadruped robots—so you spend your time coding logic and troubleshooting hardware, not configuring software installs.
Bridging Code and Motion
Most AI training stops at the screen, but robotics requires interaction with physics. Our Physical AI workshops are designed to get you past the 'Hello World' stage and into actual implementation. Whether you are working with Vision-Language-Action (VLA) models or Reinforcement Learning, the goal is to create code that makes machines move.
The Tech Stack We Use
We run our workshops on industry-standard tools to ensure the skills you learn are applicable immediately:
- NVIDIA Isaac Sim: For physics-accurate simulation of robots before they ever touch the floor.
- ROS 2: The standard middleware for building complex robot behaviors.
- Hugging Face LeRobot: We use this to bridge Large Language Models with robotic control systems.
What You Will Actually Do
Each session is structured as a lab, not a lecture. You will spend your time:
- Running simulations on our high-performance GPU workstations.
- Deploying your logic onto physical hardware like Unitree quadrupeds or robotic arms.
- Troubleshooting real-world sensor integration, lighting conditions, and mechanical constraints.
- Participating in a final hackathon to prove your concept works in the real world.
We limit our batches to 10–20 participants to ensure everyone gets enough 'stick time' with the machines. Bring your curiosity and a laptop; we handle the compute power, the kits, and the coffee.
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