FIELDrun
Problem
SolutionFieldArenaFieldAdaptFieldEdge
Running pilotsTalk to us ↗

03 / ON-ROBOT INFERENCE

Run the policy within the robot’s limits.

Quantize and optimize inference for the target accelerator, balancing latency, memory, throughput, and task performance.

Talk to us about FieldEdge ↗
Quantization comparison from FP16 to INT8 and INT4, alongside a selection of target edge hardware
OPTIMIZE FOR EDGE / DEPLOY TO ROBOT HARDWARE
Edge inference metrics for a quantized policy running on an NVIDIA Jetson Orin
EDGE INFERENCE / EXAMPLE READOUT
THE EDGE DEPLOYMENT LAYER03 — INFERENCE
01

Fit the hardware

Profile policy execution against the target device’s memory and compute capacity.

02

Meet the control loop

Measure end-to-end inference latency and throughput on the robot’s onboard computer.

03

Check task performance

Evaluate the optimized policy on real tasks to track the effect of quantization and runtime changes.

FIELDEDGE / ON-ROBOT INFERENCEDiscuss your target hardware ↗