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Principle:Google deepmind Mujoco Sensor Pipeline

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Google DeepMind MuJoCo Physics Simulation, Sensing 2025-02-15

Overview

Description: Sensor data computation pipeline that evaluates all configured sensors and writes results to a contiguous output buffer.

Context: MuJoCo supports a wide variety of sensor types including joint sensors, body sensors, touch sensors, rangefinders, accelerometers, gyroscopes, and user-defined sensors. The sensor pipeline evaluates all active sensors after the forward dynamics step and stores their readings in the sensordata array.

Theoretical Basis

The sensor pipeline operates as a post-processing stage in the simulation loop. Each sensor type has a dedicated computation routine that reads from the simulation state (positions, velocities, forces, contacts) and writes scalar or vector values to a flat output buffer. Sensors are evaluated in a defined order, and optional noise can be added to simulate real-world sensor imperfections. The pipeline design ensures that sensor readings are always consistent with the current simulation state.

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