Embedded AI & robotics

A digital design environment for intelligent devices and robots.

Design complete AI systems from models, cameras, sensors, CPUs, FPGAs, ESP32 devices, interfaces, and ROS components. Simulate the architecture, reuse community hardware, then deploy to hardware you own.

Sensors and cameras

Compose MIPI, USB, Ethernet, LiDAR, radar, microphones, and custom sensor interfaces.

Mixed hardware systems

Combine FPGA boards with ESP32, Raspberry Pi, CPUs, microcontrollers, and custom electronics.

AI accelerators

Reuse vision, signal-processing, inference, training, and communication implementations from the community.

ROS and robotics

Map accelerators to ROS 2 nodes, topics, messages, simulation assets, and real robot deployment.

Visual system composition

Connect software, silicon, and physical I/O.

The Morfics organizer will validate tensor shapes, precision, clocking, interfaces, board resources, drivers, and ROS message compatibility before export.

Reusable component library
Architecture and dependency graph
Versioned lockfile
Local build and deployment bundle
Example perception stack
Camera
ESP32 control
FPGA preprocessing
Object detection
ROS 2 node
Robot controller
Simulation first

ROS 2, URDF, Gazebo, Webots, bags, scenarios, and sensor traces.

Deploy anywhere

Your board, custom product, private infrastructure, or managed cloud acceleration.

Interactive system design

Build an embedded AI system from reusable parts.

Combine sensors, cameras, microcontrollers, FPGA accelerators, models, and communication interfaces while seeing how each piece contributes to the final product.

Embedded AI

Compose an embedded system

Toggle components on or off to build a system and see a live summary.

Inputs

Compute

Control

Outputs

Connectivity

Live architecture

SenseInferAct
  • Camera captures a video stream.
  • FPGA accelerates the model on-device.
  • AI model runs inference at the edge.
  • Motor / actuator acts on the decision.
  • The FPGA accelerates the model for low, predictable latency.
Build on embedded
Robotics and ROS

Follow a robotics pipeline from sensing to action.

See how perception, ROS 2, inference, planning, control, simulation, and physical deployment connect.

Robotics

Perception to action, over ROS 2

Choose a deployment mode to see where each stage runs.

The whole pipeline runs in a simulator — iterate safely before touching hardware, with a closed feedback loop.

AI inference

Accelerated models detect, classify, and predict.

Runs: Simulated

Explore robotics
Engineering collaboration

Embedded and robotics workflows are currently available through selected projects.

There is no public self-service plan yet. Contact Morfics for system architecture, FPGA acceleration, sensors and interfaces, ROS 2 integration, or custom embedded engineering.

Discuss your system