FedHIP: Federated learning for privacy-preserving human intention prediction in human-robot collaborative assembly tasks-Reference-Cited by-同舟云学术

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FedHIP: Federated learning for privacy-preserving human intention prediction in human-robot collaborative assembly tasks

Published:2024-04 Issue: Volume:60 Page:102411
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Cai Jiannan,Gao Zhidong,Guo Yuanxiong,Wibranek Bastian,Li Shuai

Funder

University of Texas at San Antonio

Hochschule Darmstadt

National Science Foundation

University of Tennessee

Publisher

Elsevier BV

Reference60 articles.

1. Robot-enabled support of daily activities in smart home environments;Wilson;Cogn. Syst. Res.,2019

2. HR1 Robot: an assistant for healthcare applications;Vasco;Frontiers in Robotics and AI.,2022

3. Human-robot collaboration in manufacturing applications: a review;Matheson;Robotics,2019

4. A comprehensive evaluation of factors influencing acceptance of robotic assistants in field construction work;Park;J. Manage. Eng.,2023

5. Robotics in construction;Saidi,2016

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1. Joint mining of fluid knowledge and multi-sensor data for gas–water two-phase flow status monitoring and evolution analysis;Advanced Engineering Informatics;2024-10

2. Monitoring and evaluating the status and behaviour of construction workers using wearable sensing technologies;Automation in Construction;2024-09

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