EmbodiChain
GPU-accelerated robot simulation, training, and Sim2Real deployment
All Skills in This Repository (7)
Pure Emerald Level Indicators
DexForcebenchmark
Write EmbodiChain benchmark scripts measuring runtime, CPU/RAM, GPU/VRAM, and correctness.
DexForceadd-test
Create EmbodiChain test files with pytest or SimulationManager class-style structure.
DexForcepre-commit-check
Verify EmbodiChain Python code against pre-commit CI rules.
DexForceadd-functor
Add EmbodiChain functors for observations, rewards, events, actions, datasets, or randomizations.
DexForceadd-atomic-action
Add a custom atomic action to an EmbodiChain environment via ActionCfg and AtomicAction interfaces.
DexForcepr
Create template-compliant GitHub pull requests for EmbodiChain.
DexForceadd-task-env
Scaffold EmbodiChain task environments with Gym IDs and test stubs.
Frequently Asked Questions
FAQPage SchemaHow to install EmbodiChain?▼
Run `npx skills add DexForce/EmbodiChain --all -g -y` in your terminal to install all skills in this suite globally.
What is EmbodiChain used for?▼
It is a GPU-accelerated framework for embodied robotics that unifies physics simulation, data generation, and reinforcement learning training. It helps researchers build robot tasks and transfer them to real hardware.
How to add a new robot to EmbodiChain?▼
The add-robot skill scaffolds a RobotCfg subclass with URDF setup, control parts, IK solver config, registration, docs, and a test stub. Your agent follows the project's exact conventions automatically.
Can EmbodiChain train robots with reinforcement learning?▼
Yes. It supports PPO, GRPO, and differentiable algorithms with parallel environment rollouts, and the add-task-env skill routes new RL tasks to the right environment type.
Does EmbodiChain work with Claude Code and Copilot?▼
Yes. The skills follow the universal SKILL.md standard with thin adapters for Claude Code, GitHub Copilot, and other compatible coding agents.
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