Results for "perception-action loop"

Continuous cycle of observation, reasoning, action, and feedback.

The field of building systems that perform tasks associated with human intelligence—perception, reasoning, language, planning, and decision-making—via algori...

Field combining mechanics, control, perception, and AI to build autonomous machines.

Continuous loop adjusting actions based on state feedback.

Closed loop linking sensing and acting.

Expected cumulative reward from a state or state-action pair.

Expected return of taking action in a state.

Predicts next state given current state and action.

Optimizing continuous action sequences.

Learning action mapping directly from demonstrations.

Software pipeline converting raw sensor data into structured representations.

Set of all actions available to the agent.

System design where humans validate or guide model outputs, especially for high-stakes decisions.

Using production outcomes to improve models.

Model trained on its own outputs degrades quality.

Control using real-time sensor feedback.

Control without feedback after execution begins.

Humans assist or override autonomous behavior.