Roadmap

Currently, EmbodiChain is under active development. Our roadmap includes the following planned features and enhancements:

• Simulation:

  • Rendering:

    • Improve ray-tracing backend performance and fix some konwn issues.

    • Add a high performance Hybrid rendering backend for better visual quality and speed trade-off.

    • Support a more efficient real-time denoiser.

    • Add a new rasterization backend for basic rendering tasks.

  • Physics:

    • Improve GPU physics throughput.

    • We are working on research and development of next-generation physics backend, supporting high-accuracy simulation, differentiable dynamics, and neural physical models for end-to-end AI integration.

  • Sensors:

    • Add more physical sensors (eg, force sensor) with examples.

  • Motion Generation:

    • Add more advanced motion generation methods with examples.

  • Useful Tools:

    • We are working on USD support for EmbodiChain to enable better asset management and interoperability.

  • Robots Integration:

    • Add support for more robot models (eg: LeRobot, Unitree H1/G1, etc).

• Data Pipeline Coming Soon:

  • We will release a Real2Sim pipeline, which enables automatic data generation and scaling from real-world seeding priors.

  • We will release an agentic skill generation framework for automated expert trajectory generation.

  • Add assets and scenes generator and the integration with data pipeline.

• Models & Training Infrastructure Coming Soon:

  • We will release a modular VLA framework for fast prototyping and training of embodied agents.

  • Add online data streaming pipeline for model training.

• Embodied Tasks Coming Soon:

  • Add more benchmark tasks for EmbodiChain.

  • Add more tasks with reinforcement learning support.

  • Add a set of manipulation tasks for demonstration of data generation pipeline.