Embodied AI evaluation
Embodied AI systems need evaluation that connects a policy to a concrete task, execution environment and measurable outcome.
Evaluate the behavior, not only the model
A policy can look strong on an abstract benchmark while failing a concrete robot task. A behavior-centric workflow makes the task contract explicit and evaluates the policy against defined success criteria.
Simulation as a controlled environment
Physics simulation provides a repeatable environment for testing supported robot behaviors. Explicit seeds, policy identifiers and behavior versions create a record that can be replayed and compared.
Evidence for iteration
Evaluation reports can capture measured metrics, execution status and validation separately, giving robotics teams a clearer trail from a policy change to an observed result.
Related robotics evaluation resources
HumanoidBehavior home · Behavior library · Benchmarking · Developer docs · Technical demo