RoboDojo: A Comprehensive Benchmark for Robotics
机器之心 · wechat · 2026-07-17
RoboDojo is an embodied intelligence benchmark covering **simulation and real robot manipulation**, with 42 simulation tasks and 18 real robot tasks, comparing 30 representative robot policies under the same standard. Results show current top general-purpose robot policies achieve an average success rate of about **8.80%** in simulation and **12.8%** in the real world; human experts achieve **76.03%** in simulation and **100%** in the real world. The author notes that existing robot foundation models still have significant gaps in generalization, memory, fine manipulation, long-horizon execution, and open semantic understanding. RoboDojo also provides heterogeneous parallel simulation and a unified access layer XPolicyLab for easy model submissions, task expansion, and real robot evaluation.
More from Embodied
- MW team shows Gen1 of MW-bot, a semi-humanoid home robot built for pantry storage and ceiling rails — CyberRobooo · 2026-07-21
- Kunlun Spins Out Riemann Dynamics, Unveils World Action Model for Robotics — 0xAllen_ · 2026-07-21
- BrainCo demos near-real-time bionics without implants and claims 85% lower prosthetic cost — TrueOrange9944 · 2026-07-21
- OpenAI’s $230 CodexMicro sold out, and users are already cloning it with Stream Decks — APPSO · 2026-07-21
- Xiaomi-Robotics-1 shows robot motion improves more from data than bigger models — The Decoder · 2026-07-21
- HarmoHOI generates multi-view hand-object videos and aligned 3D motion in one diffusion model — cn-scut · 2026-07-21