ROBOT EVALUATION

Robot behavior evaluation

Evaluation turns a robot behavior from an intended action into measurable evidence.

A reproducible evaluation loop

Start with a defined behavior and version. Choose a policy, simulation engine and explicit random seeds. Execute the evaluation, persist the result and inspect metrics alongside the configuration.

Separate validation from measurement

Schema or configuration validation answers whether an experiment is well formed. Physics-based execution answers what happened when the policy was run. Keeping those stages distinct makes reports easier to interpret.

Compare policy iterations

Controlled seeds and stable behavior definitions help teams attribute changes to policy iterations rather than accidental changes in the experimental setup.

See it in action

Technical demo → Open benchmark →

Related robotics evaluation resources

HumanoidBehavior home · Behavior library · Benchmarking · Developer docs · Technical demo