A technique for inversely identifying joint stiffnesses of robot arms via two-way TubeNets

DOI10.1080/17415977.2021.1967344OpenAlexW3198527935MaRDI QIDQ5861325

X. Han, Fang Wang, S. Y. Duan, Li Wang, Gui-Rong Liu

Publication date: 4 March 2022

Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17415977.2021.1967344

zbMATH Keywords

inverse problemsensitivity analysisreal-time computationjoint stiffnessrobotTubeNet neural network

Mathematics Subject Classification ID

Computing methodologies and applications (68U99) Numerical approximation and computational geometry (primarily algorithms) (65D99) Software, source code, etc. for problems pertaining to numerical analysis (65-04)

Related Items (4)

rchol ⋮ Neurons-Samples Theorem ⋮ A Study on Affine Transformations and a Novel Universal Prediction Theory ⋮ An uncertainty inversion technique using two-way neural network for parameter identification of robot arms

Cites Work

• Computational Inverse Techniques in Nondestructive Evaluation
• Industrial Robot Forward Calibration Method and Results
• Tubenet: A Special Trumpetnet for Explicit Solutions to Inverse Problems
• FEA-AI and AI-AI: Two-Way Deepnets for Real-Time Computations for Both Forward and Inverse Mechanics Problems

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