The Atomica Physical AI Sensor Platform is a microfabrication platform for developing and producing sensor devices that allow intelligent machines to perceive, measure, navigate, and interact with the physical world. It combines Atomica’s capabilities in MEMS sensors, optical sensing structures, motion devices, pressure devices, gas sensors, magnetic sensors, diaphragms, microlenses, micromirrors, wafer-level packaging, through-wafer interconnects, and microfluidic interfaces.

Artificial intelligence is moving from the digital world into the physical world. Physical AI requires more than processors and algorithms. It requires sensors. AI models may provide the reasoning layer, but sensors provide the real-world data layer.

What you will learn in this guide

  • Applications of the platform – robotics, autonomous vehicles and drones, industrial automation, medical systems, defense and aerospace, and smart infrastructure
  • The five sensor families – motion and inertial; pressure, force, and acoustic; environmental and chemical; magnetic and position; and optical and spectral sensing
  • The four-layer architecture of a physical AI sensor system – sensing element, interface, processing, and system control — with worked examples in a robotic arm, a drone, and industrial, medical, and smart-infrastructure systems
  • The microfabrication technology modules – from accelerometers, gyroscopes, pressure and gas sensors to microlenses, micromirrors, microfluidics, wafer-level packaging, and TSV, TGV, and interposer structures
  • Design considerations – key performance parameters by device type, mechanical, electrical, optical, thermal, and fluidic tradeoffs, and what determines whether a design can scale