Robotics & Autonomous Machines

Perception to Actuation:
Real-Time Robotics Compute

We build deterministic compute and sensor-processing pipelines that bring autonomy to robots, unmanned systems, industrial vehicles, and next-generation automated machines.

High-speed sensor ingestion (camera, IMU, LiDAR, industrial I/O)

FPGA-accelerated perception & ML inference

Real-time fusion, control loops, and safety logic

Deployable platforms for robotics controllers and autonomous systems

T a l k t o a n A r c h i t e c t

Automation Teams Struggle With Real-Time Complexity

Modern factories and robotics systems require intelligence, speed, and determinism—without cloud latency.

Exploding Verification Load

As SoCs integrate PCIe/CXL, SerDes, JESD, Ethernet, and accelerators, verification effort scales far faster than design complexity.

High-Speed Interfaces Are Failure Points

PAM-4 signaling, lane alignment, jitter tolerance, protocol timing, and LTSSM behavior demand specialized, protocol-level expertise.

FPGA Prototype Bring-Up Is Slow

IP integration, platform setup, software enablement, and link bring-up often take weeks without proven reference platforms.

Post-Silicon Debug Is Unpredictable

Limited visibility and a lack of robust VIP, stress tools, and analyzers push critical issues late into the schedule.

REFERENCE PLATFORMS USED IN ROBOTICS

Platform Architectures for Autonomous Machines

COTS FPGA/SoC platforms that robotics teams use to prototype and deploy real-time autonomous systems.

Kritin VPX SBC Family (Flagship Robotics Controller)

High-performance FPGA + ARM control
Multi-camera ingest + IMU + encoder support
Deterministic control-loop execution
Suitable for mobile robots, UAVs, ground robots, and AMRs

Avant G70 PCIe Mini Board

Compact ML inference accelerator
Ideal for robotic arms, industrial gantries, small AMRs
PCIe-connected edge AI coprocessor

Aquila DAQ Platform

Multi-sensor DAQ for perception workloads
Camera + ADC ingest with FPGA preprocessing
Used in robot inspection and navigation subsystems

ARINC 818 Displays & Video Chain (A-3.1.2)

High-speed, low-latency visual pipelines
Rugged displays for robotics HMIs
Multi-format video processing for teleoperation

REFERENCE PLATFORMS USED IN ROBOTICS

Platform Architectures for Autonomous Machines

COTS FPGA/SoC platforms that robotics teams use to prototype and deploy real-time autonomous systems.

A Tier-1 industrial automation company needed a real-time perception and control stack for a next-generation autonomous mobile robot (AMR). Camera feeds, IMU data, and wheel encoders needed to be fused at high speed, with inference and motion planning running within strict timing windows.

Logic Fruit delivered:

FPGA-based multi-camera ingest (Aquila)
Real-time IMU + encoder fusion (Kritin SBC)
ML inference mapped to FPGA fabric
Sub-10 ms perception → actuation loop
Safety-certified control path drivers
Full system-level validation using our verification methodology

Outcome Highlights

40% lower end-to-end latency
Deterministic path planning even under load
Reduced compute power consumption via FPGA acceleration
Faster field deployment using COTS platforms