RoboDojo benchmarks 30 robot manipulation policies across 42 sim and 18 real tasks
jiqizhixin · x · 2026-07-27
RoboDojo is a unified benchmark for evaluating robot manipulation policies in both simulation and the real world.
- Built by 18+ top labs, including MMLab@HKU, UC Berkeley, MIT, and Stanford.
- Covers 42 simulation tasks and 18 real-world tasks across 5 core skills: generalization, memory, precision, long-horizon execution, and open-vocab instructions.
- The authors tested 30 policies on a reproducible platform with cloud-based real-world access.
- They claim it improves on prior benchmarks in scale, reproducibility, and real-world fidelity.
The paper and project position RoboDojo as an open-source benchmark for comparing generalist robot manipulation systems more realistically than sim-only setups.
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