Recognition of Environmental Impedance Configuration by Neural Network Using Time-Series Contact State Response

Author:

Yane Kazuki1,Nozaki Takahiro2

Affiliation:

1. Graduate School of Science and Engineering, Keio University,Yokohama,Japan

2. Keio University,Department of System Design Engineering,Yokohama,Japan

Publisher

IEEE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhanced Environmental Data Acquisition via Optimal Contact Strategies with Frequency-Tailored Commands;2024 IEEE 18th International Conference on Advanced Motion Control (AMC);2024-02-28

2. Dynamic Modeling of Strip Rolling Process Using Probabilistic Neural Network;2024 IEEE 18th International Conference on Advanced Motion Control (AMC);2024-02-28

3. Visualization of Environmental Information Based on MDK Channels in a Two-dimensional Plane;2024 IEEE 18th International Conference on Advanced Motion Control (AMC);2024-02-28

4. Object Recognition Using Mechanical Impact, Viscoelasticity, and Surface Friction During Interaction;IEEE Transactions on Haptics;2023-04

5. Recognition of micro force locking contact state based on one-dimensional residual network;2022 28th International Conference on Mechatronics and Machine Vision in Practice (M2VIP);2022-11-16

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