Isaac Gym Viewer

A focused analysis tool for researchers and engineers to inspect Isaac Gym simulations, extract metrics, and understand agent behavior without writing custom visualization code.

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About This Tool

Isaac Gym Viewer ingests saved Isaac Gym simulation data and produces structured analytics on agent states, trajectories, and rewards. It focuses on offline analysis to help researchers understand policy behavior and physics interactions without rendering visuals. The tool outputs machine-friendly results suitable for notebooks, dashboards, and automated reporting.
Conceptually, it parses time-stamped state snapshots, aligns data across agents, and computes metrics that summarize motion, interactions, and rewards. The architecture emphasizes correctness, validation, and extensibility, so new data formats or additional metrics can be integrated as plug-ins.
Benefits include faster debugging cycles, reproducible evaluations, and clear visibility into multi-agent dynamics across episodes. Unique differentiators are support for heterogeneous robot fleets, robust handling of time gaps, and flexible export options (JSON/CSV) for downstream analysis. Use cases encompass policy comparison, trajectory validation, and performance profiling in robotics research and education.

How to Use

  1. Provide inputs: upload the Isaac Gym state file or specify its path.
  2. Select scope: agent_id, episode_id, or time_range.
  3. Run analysis: trigger processing (automatic when inputs are valid).
  4. Review outputs: examine metrics and trajectories.
  5. Export results: download CSV or JSON.
How to use isaac gym viewer

Frequently Asked Questions

Find Quick Answers

What data formats are supported?
Supported formats include JSON, CSV, and Isaac Gym log exports. The tool validates the schema before analysis and reports any incompatible fields to ensure reliable metrics.
Can it handle multi-agent scenarios?
Yes. The tool aggregates data per agent_id and per episode, enabling comparative analytics across multiple agents within the same environment and time window.
Does it export results for external use?
Yes. Outputs include structured JSON and CSV exports for metrics, trajectories, and rewards summaries, suitable for notebook pipelines or lab reporting.
Does the tool modify the source data?
No. Analysis is read-only and non-destructive; it generates separate reports and exports without altering input files.

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