[KongchangAI]
Benchmark

RoboTwin

A robot simulation benchmark for dual-arm collaborative manipulation. It emphasizes the evaluation of two-handed coordination and fine manipulation capabilities, using task success rate as the core metric.

Timeline (last 90 days)

Oct 19

REKI reduces the oscillation episode rate on the RoboTwin benchmark from 18.6% to 4.1%.

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Oct 19

The single-frame memoryless policy has a RoboTwin oscillation rate of 18.6%, injecting multi-frame history into the VLM backbone gives 5.8%, and REKI gives 4.1%.

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Oct 13

In simulation environments, RoboRSI achieves the highest success rates on benchmarks such as LIBERO, LIBERO-PRO, LIBERO-Plus, and RoboTwin, exceeding the strongest baseline by 2.7 to 11.0 percentage points.

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Oct 13

RoboTwin is a simulation benchmark for dual-arm collaborative manipulation, emphasizing two-handed coordination and fine manipulation.

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Oct 12

The paper validates on three platforms: the simulation benchmarks RoboTwin and LIBERO, as well as a real robot platform.

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