The missing link between simulation and real-world execution, which provides a deployment engine for trained Reinforcement Learning policies and empowers engineers to deploy them on real robots without complex integration work

DEPLOY TRAINED REINFORCEMENT LEARNING POLICIES DIRECTLY ON YOUR ROBOT

The missing link between simulation and real-world execution, which provides a deployment engine for trained Reinforcement Learning policies and empowers engineers to deploy them on real robots without complex integration work

FROM MODEL TO MOTION IN A SINGLE PIPELINE

Train RL policies in NVIDIA Isaac Lab or other simulators.

Develop your RL-based robotic application directly in AICA Studio.

In two clicks, run your RL application on your robot.

ROBOT AGNOSTIC

A single deployment pipeline works across many robot types

SIM-TO-REAL CAPABILITIES

A workflow that identifies key robot parameters (stiffness, damping, friction)

REAL-TIME CONTROL

AICA System delivers real-time feedback and control for high-frequency RL

EV BATTERY DISASSEMBLY

REAL-WORLD USE CASE

An industrial robot safely cuts and removes a high-voltage cable harness from a real EV battery pack.

Training robots with Reinforcement Learning enables them to master delicate, force-sensitive skills in simulation before applying them safely in the real world.

EXPLORE THE USE CASE

LEARN MORE ABOUT RL

AICADEMY

AICAdemy offers a free, hands-on module on Reinforcement Learning deployment in robotics. Learn how trained policies move from simulation into real-world execution.

GO TO THE RL MODULE