At Schochman, we design advanced Embedded Systems that form the backbone of modern avionics. From fast microcontroller code to AI inference on NVIDIA Jetson, our mission is to make flying and robotics safer, smarter, and easier to use.
Real-Time Control
Aviation and robotics require reliable and precise platforms. Much of our R&D is dedicated to embedded design and real-time systems that guarantee accuracy and stability.
Assembly, C, and C++
- Assembly: used in fast interrupt routines and signal processing.
- C: powers drivers, communication stacks, and safety-critical avionics tasks.
- C++: adds structure and modularity while keeping real-time performance.
Servo & Actuator Control
From autopilots to drones, our controllers regulate servos with millisecond precision. PID loops and robust feedback ensure stable flight even in turbulence.
AHRS & Sensor Fusion
We create Attitude and Heading Reference Systems (AHRS) by fusing gyro, accelerometer, magnetometer, barometer, and GNSS data. Kalman filters deliver accurate roll, pitch, and heading.
Read more: AHRS Sensors & Sensor Fusion in Avionics.
High-Level Development Supporting Embedded Systems
While avionics run on microcontrollers, we also use higher-level tools for testing and simulation. These environments let us explore algorithms, interfaces, and workflows before moving to optimized embedded or GPU-based implementations.
Artificial Intelligence and Embedded Systems in Avionics
Computer Vision
AI models detect aircraft, drones, and terrain in real time, adding perception layers to embedded avionics.
Speech-to-Text & Voice Control
Voice-enabled avionics let pilots issue spoken commands while focusing on flying. Integrated with onboard systems, this reduces workload and increases safety.
Integrated AI + Embedded Systems Control Loops
Our approach is detect → track → act. For example: spotting a drone, calculating its path, and steering servos for avoidance.
NVIDIA Embedded Platforms for Avionics
We run AI workloads on NVIDIA Jetson (Nano, Xavier, Orin). These platforms provide:
- GPU acceleration for AI inference
- Low power use in airborne systems
- CUDA and Tensor cores for video, speech, and navigation
Learn more at NVIDIA Jetson.
Why Embedded Systems Matter in Avionics
What makes Schochman unique is integration:
- Embedded Systems → deterministic and reliable avionics control
- High-level tools → fast prototyping and visualization
- AI models → smarter interaction and perception
- NVIDIA Jetson → strong onboard computing
This balance creates avionics that are reliable, fast, adaptive, and intelligent.
Our Mission & Projects with Embedded Systems
Every Schochman project — whether a glass cockpit EFIS, drone autopilot, or robotic navigation system — builds on embedded and AI technologies.
Innovation through deep engineering, tested in real flight conditions.
See examples on our Realizations.
Explore more about our R&D process.
Visit Schochman.com for contact and updates.
This is the heart of Schochman R&D: merging Embedded Systems with AI to create the future of safe and smart flight.