An autonomous AI agent that writes code, analyzes robot models, controls simulations, and iterates on training — without human intervention.
Architecture
Optimus operates in a continuous cycle — observing, hypothesizing, acting, judging, and deciding — until the policy converges.
Capabilities
Deep robotics domain knowledge paired with autonomous coding and simulation control.
Writes reward functions, training configs, and environment wrappers from task descriptions.
Inspects joint trees, actuator properties, kinematic chains, and collision geometry.
Loads models, runs physics, queries state, and visualizes sensor data in real-time.
Launches training runs, monitors convergence, evaluates policies, and decides next steps.
Results
Seven autonomous iterations. Zero human intervention. From random actions to a converged walking policy.
Before Training
After Training
In action
Give a task in plain language. Optimus handles model analysis, reward design, training dispatch, and convergence — autonomously.
Stop hand-tuning reward functions. Let an autonomous agent iterate to convergence while you focus on what matters.