Move beyond humanoid robotics theory and start building real hands-on skills.
Humanoid robots are moving from research labs into real-world testing, but understanding them is only the first step. To work with them seriously, you need to write code, run simulations, control joints, read sensor data, train policies, debug systems, and build projects.
Humanoid Robots: Hands-On Learning is a practical programming guide that teaches you how to program, simulate, and deploy humanoid robots using Python, ROS 2, NVIDIA Isaac Sim, LeRobot, MuJoCo, imitation learning, and portfolio-ready robotics projects.
This book is designed for readers who want to move from curiosity to capability. You do not need prior robotics experience. Basic Python knowledge is helpful, but the book walks you through the core programming patterns, tools, and workflows needed to begin working with simulated humanoid robots.
Inside this hands-on humanoid robotics guide, you will learn how to:
- Set up a humanoid robotics development environment
- Use Python for robotics control, data handling, and simulation workflows
- Work with NVIDIA Isaac Sim as a robotics simulation workspace
- Understand ROS 2 nodes, topics, messages, publishers, and subscribers
- Load and control a simulated humanoid robot
- Read joint states, camera feeds, and robot sensor data
- Command robot joints and understand position control
- Use safety and collision-avoidance logic in code
- Explore robot learning and imitation learning with LeRobot
- Collect human demonstrations and train manipulation policies
- Evaluate and improve robot learning policies
- Build five portfolio-ready humanoid robotics projects
- Move from simulation toward real hardware deployment
- Debug, test, document, and present robotics projects professionally
This is not a theory-only robotics book. It is a practical learning path for readers who want to build real technical capability with humanoid robots, AI robotics, robot simulation, and hands-on programming.
By the end of the book, you will have a stronger understanding of humanoid robotics software, simulation workflows, imitation learning, policy training, robot control, and project documentation. You will also have five hands-on projects that can support your GitHub portfolio, future learning, collaboration, career development, or client work.
Start reading Humanoid Robots: Hands-On Learning today and begin building the practical robotics skills that matter.
