Manifold Learning Approach Toward Constructing State Representation for Robot Motion Generation

Transactions on Computational Collective Intelligence XXIV - Lecture Notes in Computer Science ◽

10.1007/978-3-662-53525-7_6 ◽

2016 ◽

pp. 101-116 ◽

Author(s):

Yuichi Kobayashi ◽

Ryosuke Matsui

Keyword(s):

Manifold Learning ◽

Robot Motion ◽

Learning Approach ◽

Motion Generation ◽

State Representation

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Statistics manifold learning approach and its application to non-Gaussian process monitoring

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9189523 ◽

2020 ◽

Author(s):

Ping Cui ◽

Xuhong Wang ◽

Yupu Yang

Keyword(s):

Gaussian Process ◽

Process Monitoring ◽

Manifold Learning ◽

Learning Approach ◽

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GEVI cell‐type specific labelling and a manifold learning approach provide evidence for lateral inhibition at the population level in the mouse hippocampal CA1 area

European Journal of Neuroscience ◽

10.1111/ejn.15177 ◽

2021 ◽

Author(s):

Ryuichi Nakajima ◽

Nikolaos Laskaris ◽

Jun Kyu Rhee ◽

Bradley J. Baker ◽

Efstratios K. Kosmidis

Keyword(s):

Manifold Learning ◽

Lateral Inhibition ◽

Population Level ◽

Learning Approach ◽

Cell Type ◽

Hippocampal Ca1 ◽

Hippocampal Ca1 Area ◽

Cell Type Specific ◽

Ca1 Area ◽

Specific Labelling

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Nonparametric manifold learning approach for improved process monitoring

The Canadian Journal of Chemical Engineering ◽

10.1002/cjce.24066 ◽

2021 ◽

Author(s):

Ping Cui ◽

Xuhong Wang ◽

Yupu Yang

Keyword(s):

Process Monitoring ◽

Manifold Learning ◽

Learning Approach

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Humanoid robot motion generation with sequential physical constraints

Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006. ◽

10.1109/robot.2006.1642101 ◽

2006 ◽

Author(s):

M. Ruchanurucks ◽

S. Nakaoka ◽

Shunsuke Kudoh ◽

K. Ikeuchi

Keyword(s):

Humanoid Robot ◽

Robot Motion ◽

Motion Generation ◽

Physical Constraints

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Real-Time Collision-Free Multi-Objective Robot Motion Generation

Advanced Human-Robot Collaboration in Manufacturing ◽

10.1007/978-3-030-69178-3_5 ◽

2021 ◽

pp. 115-139

Author(s):

Yuquan Wang ◽

Lihui Wang

Keyword(s):

Real Time ◽

Robot Motion ◽

Motion Generation ◽

Multi Objective

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Discriminant Manifold Learning Approach for Hyperspectral Image Dimension Reduction

ACTA PHOTONICA SINICA ◽

10.3788/gzxb20134203.0320 ◽

2013 ◽

Vol 42 (3) ◽

pp. 320-325

Author(s):

杜博 DU Bo ◽

张乐飞 ZHANG Le-fei ◽

张良培 ZHANG Liang-pei ◽

胡文斌 HU Wen-bin

Keyword(s):

Dimension Reduction ◽

Manifold Learning ◽

Hyperspectral Image ◽

Learning Approach ◽

Image Dimension

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Multicriteria Optimal Humanoid Robot Motion Generation

Humanoid Robots: New Developments ◽

10.5772/4865 ◽

2007 ◽

Author(s):

Genci Capi ◽

Yasuo Nasu ◽

Mitsuhiro Yamano ◽

Kazuhisa Mitobe

Keyword(s):

Humanoid Robot ◽

Robot Motion ◽

Motion Generation

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A Manifold Learning Approach of Land Cover Classification for Optical and SAR Fusing Data

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2018.8517967 ◽

2018 ◽

Author(s):

Xiangyu Tan ◽

Shaobin Jiang ◽

Zezhong Zheng ◽

Pingchuan Zhang ◽

Mingcang Zhu ◽

...

Keyword(s):

Manifold Learning ◽

Land Cover Classification ◽

Learning Approach

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Collaborative Human-Robot Motion Generation Using LSTM-RNN

2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids) ◽

10.1109/humanoids.2018.8625068 ◽

2018 ◽

Author(s):

Xuan Zhao ◽

Sakmongkon Chumkamon ◽

Shuanda Duan ◽

Juan Rojas ◽

Jia Pan

Keyword(s):

Robot Motion ◽

Motion Generation

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A manifold learning approach to dimensionality reduction for modeling data

Information Sciences ◽

10.1016/j.ins.2019.04.005 ◽

2019 ◽

Vol 491 ◽

pp. 16-29 ◽

Author(s):

Claudio Turchetti ◽

Laura Falaschetti

Keyword(s):

Dimensionality Reduction ◽

Manifold Learning ◽

Learning Approach ◽

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