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Course Roadmap
Follow a structured learning path to master Physical AI and Humanoid Robotics.
What is Physical AI?
**Physical AI** focuses on developing intelligent systems that are embodied in physical forms (robots) and can learn, adapt, and operate in the real world through direct physical experience. It emphasizes the role of the body and real-world interaction in intelligence.
Unlike purely cognitive AI, which might operate solely in software or data, Physical AI addresses the complexities of real-world physics, uncertainty, and dynamics. It integrates advanced concepts from robotics, machine learning, computer vision, and natural language processing to create truly autonomous and interactive machines.
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Explore Our Modules
A structured journey through the core aspects of Physical AI and Humanoid Robotics.
Module 0: Foundational AI Principles
Introduction to Physical AI, embodiment, kinematics, design, and perception.
Module 1: The Robotic Nervous System (ROS 2)
Master ROS 2 concepts, URDF modeling, and build the communication backbone of robots.
Module 2: The Digital Twin (Gazebo & Unity)
Dive into simulation with Gazebo for physics and Unity for human-robot interaction.
Module 3: The AI Robot Brain (NVIDIA Isaac)
Accelerate AI robotics with Isaac Sim for synthetic data and Isaac ROS for navigation.
Module 4: Vision–Language–Action (VLA)
Explore VLA systems, LLM planning, and build autonomous humanoid pipelines.