SKU/Artículo: AMZ-B0GK835TY8
Engineering Cyber- Physical Systems with Rust: Design High- Performance Robotics, Automotive Software, and IoT Networks with Zenoh, ROS 2, and Async Rust
Format:
Kindle
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Fuera de stock
Peso con empaque:
0.79 kg
0.79 kg
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Sí
Sí
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Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- Is your code ready to drive the autonomous future where failure is not an option? The era of compromising between safety and speed is over. As the demand for intelligent robotics, autonomous vehicles, and massive IoT networks explodes, the industry is starving for engineers who can deliver blazing-fast performance without sacrificing reliability. Engineering Cyber-Physical Systems with Rust is your definitive blueprint for modernizing the embedded stack and mastering the language that is redefining systems engineering. At its heart, this book solves the critical challenge of complexity in modern hardware. It guides you past the pitfalls of C/C++ memory management and into a world where fearless concurrency and zero-cost abstractions allow you to build systems that are as safe as they are fast. Inside, you will: Master Async Rust: Unlock the power of asynchronous programming to handle massive concurrency in resource-constrained environments without the overhead of a garbage collector. Architect Scalable Robotics: deeply integrate ROS 2 with Rust to build modular, fault-tolerant robotic nodes that operate with deterministic precision. Revolutionize Connectivity with Zenoh: Move beyond MQTT limitations by implementing Zenoh for high-performance, geo-distributed data storage and zero-copy communication across networks. Build Automotive-Grade Systems: Learn to design safe, compliant automotive software stacks that can withstand the rigors of real-time operation. Bridge the Gap: Seamlessly connect low-level hardware control with high-level cloud intelligence to create truly cohesive Cyber-Physical Systems. Don’t let legacy tools hold back your innovation. Secure your copy today and start engineering the future of intelligent machines.
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