A Practical Guide to ROS 2 and Jetson for Humanoid Robotics: Building Open-Source Robot Brains with Embedded AI Systems - Softcover
Synopsis
Build a humanoid robotics stack that is practical, testable, and ready for embedded deployment. This guide walks through the full path from system design to field testing, showing how ROS 2 and NVIDIA Jetson can be combined to power perception, state estimation, motion planning, control, and reliable runtime behavior for humanoid robots.
Written for engineers, roboticists, and advanced builders, the book focuses on what it takes to move from concept to working robot software. It covers how to define requirements, map hardware to software blocks, and choose communication patterns that support real-time robot behavior. You will also learn how to set up a reproducible development workflow, configure ROS 2 on Jetson, and validate the environment with disciplined checks.
What the book covers
- Core ROS 2 concepts, including nodes, topics, services, actions, parameters, QoS, timing, workspaces, and build tooling.
- Humanoid state estimation with TF2, IMU fusion, joint states, odometry integration, and debugging for consistency.
- Embedded vision pipelines on Jetson, from camera setup and preprocessing to accelerated model execution and performance tuning.
- Motion planning and whole body control integration, with attention to kinematics, trajectories, safety limits, and simulation validation.
- ROS 2 control and hardware interfaces for actuators, controller tuning, fault handling, and simulation-backed testing.
- Reliable communication design for high bandwidth streams, executor behavior, launch sequencing, and startup stability.
- Custom package development, message and service design, clean node APIs, parameters, and both unit and integration testing.
- Simulation to hardware transfer, system testing, containers, profiling, observability, and deployment on Jetson.
Why it stands out
The chapters are organized like a real robotics project, not a loose collection of tutorials. Each section builds toward an integrated humanoid platform where perception informs estimation, estimation guides planning, and control executes safely on hardware. Special attention is given to practical concerns such as latency, bandwidth, device access, reproducibility, and failure recovery.
Ideal for readers who want to:
- architecture a humanoid robot system from the ground up
- use ROS 2 effectively on Jetson-based embedded hardware
- connect simulation, testing, and deployment into one workflow
- build maintainable robot software with clear interfaces and diagnostics
- move from prototypes to dependable end-to-end demos
With a balance of software engineering discipline and robotics application focus, this book serves as a clear roadmap for building open-source robot brains for humanoid systems.
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A Practical Guide to ROS 2 and Jetson for Humanoid Robotics: Building Open-Source Robot Brains with Embedded AI Systems
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