The most practical
"Physical AI Workshop"
Master hands-on skills in AI, robotics, embedded systems, and automation with real-world applications
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Batch Size & Format
Workshop Overview
Whether you're a software developer, electronics engineer, researcher, or AI enthusiast, this
workshop provides the perfect blend of theory and hands-on practice. You’ll gain a comprehensive
understanding of how robotics, embedded systems, and AI algorithms work together to build powerful,
intelligent solutions.
By the end of the workshop, you’ll have the skills to design autonomous
robotic systems capable of perception, navigation, and action—laying a strong foundation for
advanced robotics and AI innovation.
In addition to core technical skills, the workshop provides insights into modern robotics workflows,
debugging strategies, and system optimization techniques.
By the end of the program, participants
will have built functional projects, understood real deployment challenges, and gained the
confidence to create their own intelligent robotic solutions—making it an ideal foundation for
students, professionals, and innovators entering the robotics and AI space.
Visual Platforms Featured
Le Robot
LLM + vision + robotic control
Isaac Sim
Realistic robotic environments
Isaac Lab
Reinforcement learning for robotic agents
Unitree Dog
Learn locomotion, balance, and AI behavior
Humanoid Sims
Learn locomotion, balance, and AI behavior
Autonomous Car/AMR
Learn SLAM and vision-based driving logic
Modules Covered
Hugging Face LeRobot
▾Description: Learn to use LeRobot, an open-source framework by Hugging Face, for developing robot control logic using LLMs. Participants will build and test agentic loops that allow robots to respond to instructions, make decisions, and execute tasks using language models.
Key Skills:
- Prompt engineering for robotics
- LLM-based control pipelines
- Integration with Python robotics APIs
Autonomous Vehicle (AV) Control & Simulation
▾Description: Understand the core systems that drive autonomous navigation — from sensor fusion to control algorithms. Use simulated vehicles to develop object detection, path planning, and control strategies.
Key Skills:
- Perception & planning stack
- Lane keeping and obstacle avoidance
- Sim-to-real considerations for AVs
VLA Models from Gemini Robotics
▾Description: Explore Vision-Language-Action (VLA) models inspired by Gemini Robotics. Train and evaluate models that take visual input, understand language-based instructions, and output physical actions in real-time simulations.
Key Skills:
- Visual grounding
- Language-conditioned policies
- Multi-modal action inference
Playing with NVIDIA Isaac Sim
▾Description: Use NVIDIA Isaac Sim to create high-fidelity, physics-accurate robotic simulations. Develop environments to test manipulation, navigation, and sensing scenarios using ROS and Omniverse tools.
Key Skills:
- Isaac Sim + ROS integration
- Simulation environment setup
- Sensor simulation & debugging
Isaac Lab for Agent Training
▾Description: Dive into Isaac Lab, a reinforcement learning framework within the Isaac ecosystem. Train AI agents on robotic tasks like pick-and-place, locomotion, and policy optimization using curriculum-based learning.
Key Skills:
- RL environments for robotics
- Reward shaping and curriculum setup
- Behavior cloning & PPO policies
Hardware-in-the-Loop (HIL) Integration
▾Description: Connect simulations with physical hardware to close the sim-to-real loop. Test policies trained in simulation directly on real robotic hardware with feedback systems.
Key Skills:
- Control system interfacing
- Latency & real-time considerations
- Safety and fallback mechanisms
Simulating Humanoids in Isaac Sim
▾Description: Learn to set up and simulate humanoid robots using Isaac Sim's advanced physics engine. Teach models to walk, balance, and perform human-like gestures.
Key Skills:
- Multi-joint control
- Gait generation and stabilization
- Humanoid skeleton simulation
Robotic Dog Simulation in Isaac Sim
▾Description: Simulate quadruped robots like robotic dogs, tune their locomotion, and experiment with terrain adaptation and obstacle negotiation using Isaac’s robust physics.
Key Skills:
- Quadruped control algorithms
- Legged locomotion tuning
- Fall recovery & rough terrain navigation
Join our hands-on robotics and AI workshops to gain practical experience.
Target Audience
Working Professionals & Students
Engineers and tech professionals who want to upskill in robotics and AI or transition their knowledge to practical embedded AI systems.
Researchers, Academics & Developers
Individuals working in academia, research labs, or development teams who need to integrate AI and behavior modeling with real-world robots.
Start-up Founders
Individuals developing AI or robotics-based products who want hands-on technical experience and insights.
Final Year Engineering Students
Students looking for project work in intelligent robotics and AI or to gain industry-relevant skills.
Course Highlights
- ✓ AI, Robotic Program
- ✓ Hands-on Practice
- ✓ Capstone Real Projects
- ✓ Project Mentoring
- ✓ Certificate of Completion
Workshop Fee
Join us for 2 days of practical learning that ends with a Hands-on workshop, all conducted at a top-notch robotics lab.
Includes breakfast & lunch, refreshments, certification, and unlimited support.
Frequently Asked Questions
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