Abstract: The requirement for motion control of robotic arms in industrial settings is a dynamic field. This study examines the principles and derivation of the kinematics of the robotic arm based on ...

Abstract: We propose a novel method for robust estimation of multiple local dips in seismic data via signal decomposition. The decomposition is achieved by regularizing each separated component to ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

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A lightweight, gradient-efficient unlearning framework that maintains test accuracy and membership inference resilience at high data-removal ratios without requiring extra retraining. Unlearned ...

A research team from the Chinese Academy of Sciences proposed PLSaoNET, a general method that provides neural networks a statistically meaningful ...

Robot skill library ASPIRE — released June 29 by NVIDIA and collaborators — gives robots persistent memory by storing every debugging fix as a named, reusable code pattern. It pushed bimanual handover ...

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WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WIMI' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has completed systematic benchmark testing on fully ...

Luo Jianlan, associate professor at the Shanghai Innovation Institute and chief scientist at Agibot. Photo source: Sohu. Data ...

Consider the words "man", "woman", "boy", and "girl". Two of them refer to males, and two to females. Also, two of them refer to adults, and two to children. We can ...