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Hardware Engineering

A hub of 60 hardware-related directories on this site — chips and processors, neuromorphic and quantum hardware, embedded systems, sensors, robotics and drones, IoT and edge devices, data center, storage and networking hardware, and immersive and biometric devices.

60 directories•10 categories•Updated November 13, 2026

Chips, Processors & Computer Architecture

4 entries

Semiconductors, processors, accelerators and the tools used to design them.

Neuromorphic & Quantum Computing Hardware

4 entries

Brain-inspired and quantum processors beyond conventional chips.

Embedded Systems & Single-Board Computers

3 entries

Microcontrollers, RTOS, embedded Linux and Raspberry Pi development.

Sensors & Identification

8 entries

Sensor types, manufacturers, applications and RFID.

Robotics, Drones & Aerospace

11 entries

Robots, autonomous machines, drones and aviation hardware.

20Robotics TechnologiesGateway to robotics technology: learning resources, university and lab research, notable products, AI-driven robots, platforms, drones, Physical AI, action… 21Robotics ProductsDirectory of leading robotics companies and products: industrial arms and cobots, humanoid, surgical and autonomous robots from ABB, KUKA, Boston Dynamics… 22Robotics PlatformsFrameworks, kits and platforms for building robots: open-source robot software, hardware and education platforms, AI, fleet software and more. 23Robotics ResourcesHub of robotics resources: learning tutorials, research institutes and labs, and industry news and journals, merged from two older pages and link-checked. 24Humanoid RobotsDirectory of humanoid robots in 2026: Boston Dynamics Atlas, Agility Digit, Figure, 1X NEO, Tesla Optimus, Apptronik Apollo, Unitree, UBTECH, NEURA and AI… 25Advanced AI-Driven RobotsA listing of leading AI-driven robots: general-purpose humanoids, social humanoids, legged robots, mobile manipulators, service robots and delivery drones and robots. 26Autonomous Mobile Robots (AMRs)Autonomous mobile robots (AMRs) in 2026: vendors, ROS 2 Nav2 and SLAM software, fleet interoperability with VDA 5050 and Open-RMF, and safety standards. 27AI-Driven Robots & DronesA deep technical overview of AI-driven robots and drones: their architecture and how they achieve autonomy. 28Drone TechnologiesGuide to drone technology: makers such as DJI and Skydio, delivery services, PX4 and ArduPilot autopilots, mapping software and aviation rules. 29Physical AIDirectory for physical AI in 2026: robot foundation models and VLA models, world models, simulators such as Isaac Sim and MuJoCo, humanoids, autonomous… 30Aerospace and AviationAerospace and aviation hub for 2026: regulators, space agencies, manufacturers, launch providers, avionics, air traffic, eVTOL, MRO and design tools.

IoT, Edge & Industrial Devices

6 entries

Connected devices and the edge hardware that runs close to the data.

Data Center & IT Infrastructure Hardware

6 entries

Servers, storage, power, cooling and the vendors that supply them.

Storage Hardware

8 entries

Arrays, disks and storage systems.

Networking & Wireless Hardware

6 entries

Network equipment, data center networking and radio access hardware.

Immersive & Biometric Hardware

4 entries

Headsets, AR devices and biometric sensors.

Related Pages

5 entries

Related research directories on this site.

Frequently Asked Questions

What is hardware engineering?

Hardware engineering is the design, development and testing of physical computing and electronic systems, from semiconductors and processors to embedded boards, sensors, robots, servers, storage and networking equipment.

What is the difference between a CPU, GPU, TPU and NPU?

A CPU handles general-purpose work, a GPU runs many operations in parallel for graphics and AI, a TPU is Google's tensor accelerator, and an NPU is a neural processing unit built for on-device AI. The processor types page explains these and more.

Where do I start with embedded systems?

Start with microcontrollers and a real-time operating system or embedded Linux, practise on a low-cost board such as a Raspberry Pi, and work through the embedded systems courses and certifications listed in this hub.

How is data center hardware organised?

Servers and accelerators do the compute, storage systems such as SAN, NAS and object arrays hold the data, networking equipment connects them, and power and cooling keep them running. Each layer has its own section here.

How does hardware relate to software and AI?

AI performance depends on chips, memory, storage and networking as much as on models. Hardware pages here link to the AI chip, edge AI and neuromorphic pages, and to the software hubs that run on this hardware.