Learn How Connected Systems Sense, Decide, Act, and Verify Their Results
Smart-home devices and autonomous drones may appear to belong to different worlds, but they share the same engineering problem: turning imperfect measurements into safe, limited, and verifiable actions.
A room-monitoring system must decide whether a reading is current, whether a threshold has genuinely been crossed, and whether an action succeeded. A drone application must confirm vehicle readiness, monitor changing conditions, manage mission states, and respond correctly when communication or positioning fails.
Autonomous Systems Starter Guide provides a practical, beginner-friendly introduction to the principles and tools behind both environments.
Rather than treating automation as a collection of disconnected settings, this book teaches one dependable working model:
Sense → Communicate → Decide → Act → Verify
You will begin by understanding sensors, control loops, system states, communication links, feedback, safe states, and failure handling. You will then build smart-home projects with ESP32, ESPHome, MQTT, and Home Assistant before progressing to Python supervision, simulated PX4 missions, QGroundControl, and MAVSDK-Python.
Inside this hands-on guide, you will learn how to:
The practical projects include an ESP32 environmental monitor, a Home Assistant room dashboard, a humidity-warning workflow, an MQTT telemetry logger, a Python environment supervisor, a simulated PX4 inspection route, a MAVSDK mission program, and a unified monitoring and control console.
The drone exercises remain simulation-based so that mission logic, connection handling, state transitions, timeouts, and emergency responses can be tested without risking an aircraft. The book also maintains clear boundaries around electrical work, network exposure, physical testing, and human supervision.
Whether you are a smart-home enthusiast, electronics beginner, Python learner, robotics student, maker, drone developer, or technician, this guide will help you understand how dependable autonomous workflows are designed from the ground up.
Collect trustworthy data. Limit every action. Confirm the result. Make failure visible. Keep people in control.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : new. Paperback. Learn How Connected Systems Sense, Decide, Act, and Verify Their ResultsSmart-home devices and autonomous drones may appear to belong to different worlds, but they share the same engineering problem: turning imperfect measurements into safe, limited, and verifiable actions.A room-monitoring system must decide whether a reading is current, whether a threshold has genuinely been crossed, and whether an action succeeded. A drone application must confirm vehicle readiness, monitor changing conditions, manage mission states, and respond correctly when communication or positioning fails.Autonomous Systems Starter Guide provides a practical, beginner-friendly introduction to the principles and tools behind both environments.Rather than treating automation as a collection of disconnected settings, this book teaches one dependable working model: Sense Communicate Decide Act VerifyYou will begin by understanding sensors, control loops, system states, communication links, feedback, safe states, and failure handling. You will then build smart-home projects with ESP32, ESPHome, MQTT, and Home Assistant before progressing to Python supervision, simulated PX4 missions, QGroundControl, and MAVSDK-Python.Inside this hands-on guide, you will learn how to: Understand the difference between remote control, automation, and autonomyApply the sense-decide-act cycle to real systemsSeparate physical devices, sensing, communication, decision-making, interfaces, and logsDistinguish states, events, commands, acknowledgements, and completed actionsUnderstand open-loop and closed-loop behaviourUse feedback without creating unstable or rapidly switching systemsDesign safe states, timeouts, limited retries, and human-intervention pointsChoose between local, cloud-dependent, and hybrid architecturesBuild a safe low-voltage project laboratorySelect and connect an ESP32 development board and BME280 environmental moduleUnderstand temperature, humidity, pressure, motion, presence, proximity, and electrical measurementsCompare accuracy, precision, resolution, drift, sampling rates, and update intervalsWork with I2C, SPI, UART, and GPIO connectionsReduce unreliable behaviour caused by noise, bouncing, poor calibration, and incorrect thresholdsUnderstand Wi-Fi, Ethernet, serial links, JSON payloads, and network addressingInstall and test an Eclipse Mosquitto MQTT brokerThe practical projects include an ESP32 environmental monitor, a Home Assistant room dashboard, a humidity-warning workflow, an MQTT telemetry logger, a Python environment supervisor, a simulated PX4 inspection route, a MAVSDK mission program, and a unified monitoring and control console.The drone exercises remain simulation-based so that mission logic, connection handling, state transitions, timeouts, and emergency responses can be tested without risking an aircraft. The book also maintains clear boundaries around electrical work, network exposure, physical testing, and human supervision.Whether you are a smart-home enthusiast, electronics beginner, Python learner, robotics student, maker, drone developer, or technician, this guide will help you understand how dependable autonomous workflows are designed from the ground up.Collect trustworthy data. Limit every action. Confirm the result. Make failure visible. Keep people in control. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798188289430
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