الباحثون

Zhaoshuo Li

المنشورات 2

نسخة أولية وصول مفتوح

ARC: A Reasoning Recipe for Robot Foundation Models

The prevailing approach to improving robot foundation models (RFMs) relies on larger models, more robot demonstrations, and costly training at scale. We show that there exists an effective and efficient complementary approach: the right reasoning recipe can substantially improve the zero-shot task performance of existi …

نسخة أولية وصول مفتوح

X2Real: an eXtensive simulation benchmark for real-world generalist policies

Lian Ruan, Jade Yang, Sherphylan Gao وآخرون · 2026

Generalist robot manipulation policies have developed rapidly, yet their reliable evaluation remains challenging due to fundamental flaws in existing simulation benchmarks: prominent sim-to-real gaps, narrow task coverage, and unfair evaluation caused by ambiguous training-test pipelines. Prior works only partially res …

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