Roadmap

Currently, EmbodiChain is under active development. Our plan for the feature roadmap is as follows:

• 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.

    • Support 3DGS rendering mode (If we have enough bandwidth).

  • Physics:

    • Improve GPU physics throughput.

    • Improve soft body simulation stability and add more examples and tasks.

    • We are also exploring how to integrate newton physics into EmbodiChain as an alternative physics backend.

  • Sensors:

    • Add contact and force sensors with examples.

  • Kinematics Solvers:

    • Improve the existing IK solver performance and stability (especially SRSSolver and OPWSolver).

  • Motion Generation:

    • Add more advanced motion generation methods and examples.

  • Useful Tools:

    • Add a robot workspace analysis tool for better visualization and sampling of robot accessible workspace.

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

    • We will release a simple Real2Sim pipeline, which enables automatic task generation from real-world data.

  • Robots Integration:

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

• Agents:

  • Add more Reinforcement Learning examples and environments.

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

  • We will release a simple online data streaming pipeline for Imitation Learning.

• Tasks:

  • We will release a set of Real2Sim tasks as examples for EmbodiChain.

  • We will release a set of tableware manipulation tasks for demonstration of data generation pipeline.