# IoT & Robotics: AI in the Physical World 20 slides on what happens when AI gets a body — the sensors, robots, and humanoids reshaping the physical economy, and exactly how to start building for under $200. Canonical: https://robauto.ai/learn/iot-robotics 20 slides on what happens when AI gets a body — the sensors, robots, and humanoids reshaping the physical economy, and exactly how to start building for under $200. 20 lessons · ~4 min · free, no signup. ## Lessons - [IoT (Internet of Things)](/learn/iot-robotics/1) — DEFINITION - [Connected devices, worldwide](/learn/iot-robotics/2) — STAT - [Physical AI / Embodied AI](/learn/iot-robotics/3) — DEFINITION - [Industrial robots installed](/learn/iot-robotics/4) — STAT - [Cobot](/learn/iot-robotics/5) — DEFINITION - [Humanoid platforms available](/learn/iot-robotics/6) — STAT - [VLA (Vision-Language-Action)](/learn/iot-robotics/7) — DEFINITION - [Edge AI](/learn/iot-robotics/8) — DEFINITION - [Digital twin](/learn/iot-robotics/9) — DEFINITION - [Predictive maintenance pays](/learn/iot-robotics/10) — STAT - [“Robots that use AI to work independently are becoming more common.”](/learn/iot-robotics/11) — QUOTE - [U.S. robot installs, 2025](/learn/iot-robotics/12) — STAT - [Getting started: under $200](/learn/iot-robotics/13) — PLAYBOOK - [Getting started: robotics](/learn/iot-robotics/14) — PLAYBOOK - [MQTT & telemetry](/learn/iot-robotics/15) — DEFINITION - [Simulation first](/learn/iot-robotics/16) — PLAYBOOK - [The convergence](/learn/iot-robotics/17) — STAT - [Myth: robotics is only for factories](/learn/iot-robotics/18) — MYTH - [The business entry point](/learn/iot-robotics/19) — PLAYBOOK - [AI has a body now. You know how it works.](/learn/iot-robotics/20) — COMPLETE ## Full course text ### 1. IoT (Internet of Things) Physical objects — sensors, meters, machines, vehicles — connected to the internet, streaming data and taking commands. IoT is how AI gets eyes and hands in the real world. Source: [IoT Analytics — State of IoT](https://iot-analytics.com/number-connected-iot-devices/?utm_source=robauto) ### 2. Connected devices, worldwide Connected IoT devices number around 20 billion globally and are forecast to roughly double by 2030. Every one is a data source an AI model can learn from — and increasingly, act on. Source: [IoT Analytics, State of IoT (2025)](https://iot-analytics.com/number-connected-iot-devices/?utm_source=robauto) ### 3. Physical AI / Embodied AI AI that perceives and acts in the physical world through sensors and actuators — robots, drones, autonomous vehicles. The 2026 breakthrough: robots running foundation models instead of hand-coded rules. Source: [NVIDIA — Physical AI](https://www.nvidia.com/en-us/glossary/generative-physical-ai/?utm_source=robauto) ### 4. Industrial robots installed 542,000 industrial robots were installed worldwide in 2024 — more than double the number a decade earlier. Asia took 74% of deployments; the installed market value hit an all-time high of $16.7 billion. Source: [IFR, World Robotics 2025](https://ifr.org?utm_source=robauto) ### 5. Cobot A collaborative robot designed to work safely beside humans — no cage required. Cobots are the fastest-growing robot class because they deploy in weeks, cost a fraction of traditional cells, and can be re-tasked across a shop floor. Source: [IFR — collaborative robots](https://ifr.org?utm_source=robauto) ### 6. Humanoid platforms available Commercially available humanoid robot platforms jumped from 3 in 2024 to 12 in 2026, priced from ~$28K (torso-only) to ~$245K (full biped) — with lease programs at $3,500–8,000/month. Humanoid market projected: ~$2B (2024) → ~$18B by 2030. Source: [Silicon Valley Robotics — State of Robotics 2026; MarketsandMarkets](https://www.roboticscenter.ai/state-of-robotics-2026?utm_source=robauto) ### 7. VLA (Vision-Language-Action) Foundation models that take camera input + a plain-English instruction (‘put the red parts in bin 3’) and output robot movements. VLA adoption tripled in a year — now in ~40% of new robot deployments. Programming is becoming prompting. Source: [State of Robotics 2026](https://www.roboticscenter.ai/state-of-robotics-2026?utm_source=robauto) ### 8. Edge AI Running AI models on the device itself — a camera, a controller, a sensor hub — instead of the cloud. Why it matters: millisecond decisions, works offline, keeps sensitive data local. A $250 Jetson-class board now runs serious vision models. Source: [NVIDIA Jetson — Edge AI](https://developer.nvidia.com/embedded-computing?utm_source=robauto) ### 9. Digital twin A live virtual replica of a physical asset — machine, warehouse, city block — fed by IoT sensors. Teams simulate changes and train robot AI in the twin before touching the real thing, collapsing risk and cost. Source: [IBM — What is a digital twin?](https://www.ibm.com/topics/what-is-a-digital-twin?utm_source=robauto) ### 10. Predictive maintenance pays AI-driven predictive maintenance cuts equipment downtime by ~45% and maintenance costs by ~25%. It’s the most reliable first ROI in industrial AI: sensors + history + a model that hears failure coming. Source: [Deloitte / McKinsey analyses](https://www.mckinsey.com/capabilities/operations/our-insights?utm_source=robauto) ### 11. “Robots that use AI to work independently are becoming more common.” — The IFR’s #1 robotics trend for 2026. Analytical AI predicts failures; generative AI lets robots learn tasks and generate their own training data in simulation. Source: [IFR, Top 5 Robotics Trends 2026](https://ifr.org/ifr-press-releases/news/top-5-global-robotics-trends-2026?utm_source=robauto) ### 12. U.S. robot installs, 2025 U.S. robot installations rose 11% in 2025 to 38,000 units — with growth led not by automotive but by food and non-manufacturing sectors. Chronic labor shortages, not layoffs, are the main driver companies cite. Source: [IFR (June 2026)](https://ifr.org/ifr-press-releases?utm_source=robauto) ### 13. Getting started: under $200 Raspberry Pi 5 or ESP32 microcontroller + a few sensors (temperature, motion, camera) + Python. First project: a sensor that streams readings to a dashboard and texts you on anomalies. You’ll touch the whole IoT stack — device, network, data, alert. Source: [Raspberry Pi Foundation — Projects](https://projects.raspberrypi.org?utm_source=robauto) ### 14. Getting started: robotics Hugging Face’s open-source LeRobot gives you trainable robot AI, and the SO-ARM class of hobby arms costs ~$100–300. Teleoperate the arm, record demonstrations, train a policy, watch it repeat the task. That loop IS modern robotics. Source: [Hugging Face — LeRobot](https://huggingface.co/lerobot?utm_source=robauto) ### 15. MQTT & telemetry MQTT is the lightweight publish/subscribe protocol most IoT devices use to talk. Telemetry is the continuous data they emit. Business angle: telemetry is proprietary training data no competitor can scrape — the most defensible dataset you can own. Source: [MQTT.org](https://mqtt.org?utm_source=robauto) ### 16. Simulation first NVIDIA Isaac Sim and open-source Gazebo let you build and train robots in physics-accurate virtual worlds — free — before buying hardware. Imitation learning (learning from human demonstrations) overtook reinforcement learning as the main training method in 2026. Source: [NVIDIA Isaac Sim; State of Robotics 2026](https://developer.nvidia.com/isaac/sim?utm_source=robauto) ### 17. The convergence Forrester flags ‘physical AI’ — agents coordinating robots, sensors, and supply chains in real time — as a defining 2026–27 shift. Digital agents plus edge hardware is the highest-impact combo in manufacturing and logistics. Source: [Forrester Predictions 2026](https://www.forrester.com/predictions/?utm_source=robauto) ### 18. Myth: robotics is only for factories 2024 alone: professional service robots grew 9%, consumer service robots 11%, and medical robots 91% year-over-year. Agriculture, hospitals, hotels, and last-mile delivery are the growth frontier. Source: [IFR, World Robotics 2025 — Service Robots](https://ifr.org?utm_source=robauto) ### 19. The business entry point Don’t start with a robot; start with a measurement problem. Instrument one process with cheap sensors, collect 90 days of telemetry, let AI find the pattern (waste, downtime, drift), then automate the response. Data before actuators, always. Source: [McKinsey — IoT value creation](https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights?utm_source=robauto) ### 20. AI has a body now. You know how it works. Sensors in, models in the middle, action out — from a $200 Pi rig to a $245K humanoid, it’s the same loop. Final course: assembling everything into a durable business system. Source: [Continue → Advanced AI Architecture](https://robauto.ai/learn/ai-architecture) [All courses](/learn) · [Robauto](/) --- (c) 2026 Robauto, Inc. — support@robauto.ai Machine surfaces: https://robauto.ai/llms.txt · https://robauto.ai/llms-full.txt · https://robauto.ai/.well-known/api-catalog