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Principle:Google deepmind Mujoco Debug Output

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Google DeepMind MuJoCo Debugging 2025-02-15

Overview

Description: MuJoCo provides text-format printing utilities for dumping model structure and simulation data in human-readable form. These debug output facilities enable inspection of internal state for troubleshooting model issues and verifying simulation correctness.

Context: When developing or debugging MuJoCo models, developers need to inspect model parameters (masses, inertias, joint limits), simulation state (positions, velocities, forces), and derived quantities (constraint Jacobians, contact lists). The debug output system formats these internal data structures as readable text for console output or file logging.

Theoretical Basis

Debug output follows observability principles in software engineering:

  • Complete state inspection: All internal model and simulation data structures can be printed, ensuring no hidden state escapes observation
  • Formatted output: Numerical data is formatted with appropriate precision, alignment, and labeling for human readability
  • Selective printing: Users can print specific sections (bodies, joints, geoms, sensors) rather than the entire state, reducing output volume
  • Reproducibility: Text output can be captured, diffed, and version-controlled to track changes in model behavior across code revisions

Debug output is a low-overhead diagnostic tool that complements interactive visualization for model development.

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