RoboDojo is an open-source robotics benchmark designed to evaluate general-purpose robot manipulation policies in simulated and physical environments. It provides 42 simulation tasks and 18 real-world tasks across three robotic platforms. The benchmark measures generalization, memory, precision, long-horizon planning, and open-ended manipulation capabilities. Its Isaac Sim environments support rigid, articulated, and deformable objects across diverse scenarios. Parallel simulation enables researchers to evaluate multiple tasks and environments efficiently. RoboDojo integrates with XPolicyLab to test different robotic policies through a unified interface. Reproducible configurations, controlled random seeds, and standardized scoring support consistent comparisons. This repository also includes an experimental Isaac Sim 6.1 migration whose complete benchmark compatibility remains unverified.
Features
- 42 Simulated Robot Manipulation Tasks
- 18 Real-World Robotic Evaluation Tasks
- Five-Dimension Robot Capability Assessment
- Parallel NVIDIA Isaac Sim Evaluation
- XPolicyLab Robot Policy Integration
- Reproducible Scoring and Leaderboard Reporting