A perception module is the component of an autonomous or cognitive agent that transforms raw sensory input into structured representations of the environment. It performs sensing, filtering, feature extraction, object detection, and state estimation to produce a world model usable by planning and control. As the agent’s interface to reality, its accuracy bounds the quality of all downstream decisions.
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- The module fuses inputs from cameras, LiDAR, audio, or text streams, applying detection, segmentation, and tracking before passing a coherent state estimate to reasoning and control layers. In agentic systems it grounds language and action in observed reality, and its latency and robustness directly determine how safely the agent can operate in dynamic environments.