Abstract: Assistive robots should be able to wash, fold or iron clothes. However, due to the variety, deformability and self-occlusions of clothes, creating robot systems for cloth manipulation is ...
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Mastering linear algebra with Python for ML
Why it matters: Linear algebra underpins machine learning, enabling efficient data representation, transformation, and optimization for algorithms like regression, PCA, and neural networks. Python ...
StatsPAI is the first agent-native Python platform for causal inference and applied econometrics. One import, 950+ registered functions across 80+ submodules (live count: python scripts/registry_stats ...
Abstract: Code-based Distributed Matrix Multiplication (DMM) has been widely studied as an effective method for large-scale matrix computations in distributed systems. Two central challenges in ...
@article{bai2025towards, title={Towards a Unified Understanding of Robot Manipulation: A Comprehensive Survey}, author={Bai, Shuanghao and Song, Wenxuan and Chen, Jiayi and Ji, Yuheng and Zhong, Zhide ...
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