Pacific Platform · Astrognosy AI

Sensors Talk.
Beacon Listens.

Beacon applies PCF to robotic sensor fusion streams — LIDAR, IMU, encoders, cameras. Behavioral anomalies in the sensor data surface without rules, without retraining, and without GPU compute.

<2ms

Latency

CPU

Edge Ready

Sensor Types

Rules to Configure

Supported Sensor Inputs

📡

LIDAR

Point cloud density & occlusion events

🔄

IMU

Acceleration, jerk, and orientation drift

⚙️

Encoders

Wheel slip and drive anomalies

📷

Camera

Focus, exposure, and coverage gaps

🗺️

SLAM

Pose confidence and map consistency

🌡️

Thermal

Motor temp and actuator overload

What Beacon Detects

Environmental Hazards

LIDAR occlusion events, unexpected obstacle proximity, and point cloud density drops that indicate physical hazards the robot is navigating toward.

LIDAR_OCCLUDEOBS_CLOSEDENSITY_DROPSCAN_FAIL

Motion Anomalies

IMU jerk events, wheel slip from encoders, and actuation failures that indicate traction loss, payload shift, or mechanical degradation during operation.

IMU_JERKENC_SLIPPOSE_DRIFTACT_FAULT

Sensor Degradation

Camera blur, lens contamination, IMU drift over time, and LIDAR return rate drops — sensor health anomalies that compromise navigation quality before errors surface in downstream systems.

CAM_BLURIMU_DRIFTLIDAR_LOSSSENSOR_LAG

How It Works

Step 01

Fuse & Tokenize

Readings across all sensor streams are fused and mapped to a shared behavioral vocabulary. Each sensor contributes a token class — heterogeneous inputs become a unified behavioral sequence.

LIDAR+IMU → tokens

Step 02

Sliding Windows

Token sequences roll across time windows sized for the robot's operational cadence — from 10ms for fast manipulators to 1s for AMR navigation cycles.

W = 20 cycles

Step 03

PSV Comparison

The current window's PSV is compared against the operational baseline. The structural shape of sensor co-occurrence tells the story of whether the environment is behaving normally.

structural divergence score

Step 04

Alert & Act

Divergence above threshold triggers an alert — classified by sensor stream of origin. The robot's safety system receives a structured signal, not just a raw sensor value.

divergence above threshold → HALT/WARN

Sensors Talk.Beacon Listens.

Sensors Talk.
Beacon Listens.