Machine Learning for Haptics: Inferring Multi-Contact Stimulation From Sparse Sensor Configuration-Reference-Cited by-同舟云学术

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Machine Learning for Haptics: Inferring Multi-Contact Stimulation From Sparse Sensor Configuration

Published:2019-07-10 Issue: Volume:13 Page:
ISSN:1662-5218
Container-title:Frontiers in Neurorobotics
language:
Short-container-title:Front. Neurorobot.

Author:

Sun Huanbo,Martius Georg

Funder

China Scholarship Council

Publisher

Frontiers Media SA

Subject

Artificial Intelligence,Biomedical Engineering

Reference19 articles.

1. A comparative study of gaussian mixture model and radial basis function for voice recognition;Anifowose;CoRR,2012

2. A hierarchically patterned, bioinspired e-skin able to detect the direction of applied pressure for robotics;Boutry;Sci. Robot.,2018

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1. Exploring the Effectiveness of Haptic Machine for Children with Learning Difficulties;2023 International Conference on Computer and Applications (ICCA);2023-11-28

2. Novel Single Bubble Haptic Sensor: SubbleSight;2023 IEEE SENSORS;2023-10-29

3. Industry 5.0: Aspects of Collaboration Technologies;Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems;2023-08-25

4. Data-Driven Investigation on Anisotropic Electrical Impedance Tomography for Robotic Shear Tactile Sensing;2023 20th International Conference on Ubiquitous Robots (UR);2023-06-25

5. Predicting the Force Map of an ERT-Based Tactile Sensor Using Simulation and Deep Networks;IEEE Transactions on Automation Science and Engineering;2023-01

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