Human–Robot Collaboration in 3D via Force Myography Based Interactive Force Estimations Using Cross-Domain Generalization
Author:
Affiliation:
1. Menrva Research Group, School of Mechatronic Systems Engineering, Simon Fraser University, Metro Vancouver, BC, Canada
Funder
Natural Sciences and Engineering Research Council of Canada
Canadian Institutes of Health Research
Canada Research Chair (CRC) Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09745957.pdf?arnumber=9745957
Reference23 articles.
1. Estimating Exerted Hand Force via Force Myography to Interact with a Biaxial Stage in Real-Time by Learning Human Intentions: A Preliminary Investigation
2. Toward Long-Term FMG Model-Based Estimation of Applied Hand Force in Dynamic Motion During Human–Robot Interactions
3. Force Myography-Based Human Robot Interactions via Deep Domain Adaptation and Generalization
4. Generalizing to Unseen Domains: A Survey on Domain Generalization
5. Intra-domain and cross-domain transfer learning for time series data—How transferable are the features?
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1. Hierarchical Recurrent-Inception Residual Transformer (HRIRT) for Multidimensional Hand Force Estimation Using Force Myography Sensor;IEEE Sensors Letters;2024-09
2. An Ensemble Learning Model for Detecting Soybean Seedling Emergence in UAV Imagery;Sensors;2023-07-25
3. Spatial Calibration of Humanoid Robot Flexible Tactile Skin for Human–Robot Interaction;Sensors;2023-05-08
4. Detecting Safety Anomalies in pHRI Activities via Force Myography;Bioengineering;2023-03-05
5. Dataset on Force Myography for Human–Robot Interactions;Data;2022-11-08
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