sensescontainer

SensesContainer is a software abstraction used in robotics, computer vision, and AI to collect and manage multiple sensory inputs within a single container object. It provides a uniform interface for updating and querying sensor data, along with metadata such as timestamps, sensor identifiers, calibration parameters, and status indicators.

A sensescontainer aggregates streams from diverse modalities, such as vision, audio, touch, proprioception, and environmental sensors. Each sensor contributes data with its own sampling rate and format, and the container normalizes, buffers, and synchronizes arrivals to enable multimodal processing.

Typical implementations expose methods to add or remove sensors, fetch the latest data set, access synchronized time bases, and subscribe to change events. Some designs support scene-level fusion by exposing fused data representations, while others preserve modality-specific payloads for later processing.

Applications include robotics perception, autonomous navigation, virtual reality, and any system that must reason about multiple streams of sensory information. Benefits include modularity, easier testing, consistent data handling, and simplified sensor fusion workflows.

Limitations include added complexity, potential latency, and the need for a reliable time synchronization strategy. The term is not standardized, so implementations vary in interface and semantics across projects.

See also: sensor fusion, sensor data pipeline, ROS, multimodal perception, data container.