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Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets

Autor: Jiang, Guangqi, Sun, Yifei, Huang, Tao, Li, Huanyu, Liang, Yongyuan, Xu, Huazhe

The pre-training of visual representations has enhanced the efficiency of robot learning. Due to the lack of large-scale in-domain robotic datasets, prior works utilize in-the-wild human videos to pre-train robotic visual representation. Despite thei

Externí odkaz: http://arxiv.org/abs/2410.22325

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RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation

Autor: Ru, Dongyu, Qiu, Lin, Hu, Xiangkun, Zhang, Tianhang, Shi, Peng, Chang, Shuaichen, Jiayang, Cheng, Wang, Cunxiang, Sun, Shichao, Li, Huanyu, Zhang, Zizhao, Wang, Binjie, Jiang, Jiarong, He, Tong, Wang, Zhiguo, Liu, Pengfei, Zhang, Yue, Zhang, Zheng

Despite Retrieval-Augmented Generation (RAG) showing promising capability in leveraging external knowledge, a comprehensive evaluation of RAG systems is still challenging due to the modular nature of RAG, evaluation of long-form responses and reliabi

Externí odkaz: http://arxiv.org/abs/2408.08067

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UniFolding: Towards Sample-efficient, Scalable, and Generalizable Robotic Garment Folding

Autor: Xue, Han, Li, Yutong, Xu, Wenqiang, Li, Huanyu, Zheng, Dongzhe, Lu, Cewu

This paper explores the development of UniFolding, a sample-efficient, scalable, and generalizable robotic system for unfolding and folding various garments. UniFolding employs the proposed UFONet neural network to integrate unfolding and folding dec

Externí odkaz: http://arxiv.org/abs/2311.01267

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Efficient selective attention LSTM for well log curve synthesis

Autor: Zhou, Yuankai, Li, Huanyu

Non-core drilling has gradually become the primary exploration method in geological exploration engineering, and well logging curves have increasingly gained importance as the main carriers of geological information. However, factors such as geologic

Externí odkaz: http://arxiv.org/abs/2307.10253

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