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Physical human-robot collaboration: robotic systems, learning methods, collaborative strategies, sensors and actuators

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Physical human-robot collaboration: robotic systems, learning methods, collaborative strategies, sensors and actuators. / Ogenyi, Uchenna Emeoha; Liu, Jinguo; Yang, Chenguang; Ju, Zhaojie; Liu, Honghai.

In: IEEE Transactions on Cybernetics, 20.11.2019.

Research output: Contribution to journalArticle

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@article{2e13e2b30a3c4c94b84056156983924f,
title = "Physical human-robot collaboration: robotic systems, learning methods, collaborative strategies, sensors and actuators",
abstract = "This paper presents a state-of-the-art survey on robotic systems, sensors, actuators and collaborative strategies for Physical Human-Robot Collaboration (pHRC). The paper starts with an overview of some robotic systems with cutting edge technologies (sensors and actuators) suitable for pHRC operations and the intelligent assist devices employed in pHRC. Sensors being among the essential components to establish communication between a human and a robotic system are surveyed. The sensor supplies the signal needed to drive the robotic actuators. The survey reveals that the design of new generation collaborative robots and other intelligent robotic systems has paved the way for sophisticated learning techniques and control algorithms to be deployed in pHRC. Furthermore, it revealed relevant components needed to be considered for effective pHRC to be accomplished. Finally, a discussion of the major advances made, some research directions, and future challenges are presented.",
keywords = "robotic systems, sensors, actuators, collaborative robots, physical human-robot collaboration, human-robot collaboration, human-robot interaction",
author = "Ogenyi, {Uchenna Emeoha} and Jinguo Liu and Chenguang Yang and Zhaojie Ju and Honghai Liu",
year = "2019",
month = nov,
day = "20",
doi = "10.1109/TCYB.2019.2947532",
language = "English",
journal = "IEEE Transactions on Cybernetics",
issn = "2168-2267",
publisher = "Institute of Electrical and Electronics Engineers",

}

RIS

TY - JOUR

T1 - Physical human-robot collaboration: robotic systems, learning methods, collaborative strategies, sensors and actuators

AU - Ogenyi, Uchenna Emeoha

AU - Liu, Jinguo

AU - Yang, Chenguang

AU - Ju, Zhaojie

AU - Liu, Honghai

PY - 2019/11/20

Y1 - 2019/11/20

N2 - This paper presents a state-of-the-art survey on robotic systems, sensors, actuators and collaborative strategies for Physical Human-Robot Collaboration (pHRC). The paper starts with an overview of some robotic systems with cutting edge technologies (sensors and actuators) suitable for pHRC operations and the intelligent assist devices employed in pHRC. Sensors being among the essential components to establish communication between a human and a robotic system are surveyed. The sensor supplies the signal needed to drive the robotic actuators. The survey reveals that the design of new generation collaborative robots and other intelligent robotic systems has paved the way for sophisticated learning techniques and control algorithms to be deployed in pHRC. Furthermore, it revealed relevant components needed to be considered for effective pHRC to be accomplished. Finally, a discussion of the major advances made, some research directions, and future challenges are presented.

AB - This paper presents a state-of-the-art survey on robotic systems, sensors, actuators and collaborative strategies for Physical Human-Robot Collaboration (pHRC). The paper starts with an overview of some robotic systems with cutting edge technologies (sensors and actuators) suitable for pHRC operations and the intelligent assist devices employed in pHRC. Sensors being among the essential components to establish communication between a human and a robotic system are surveyed. The sensor supplies the signal needed to drive the robotic actuators. The survey reveals that the design of new generation collaborative robots and other intelligent robotic systems has paved the way for sophisticated learning techniques and control algorithms to be deployed in pHRC. Furthermore, it revealed relevant components needed to be considered for effective pHRC to be accomplished. Finally, a discussion of the major advances made, some research directions, and future challenges are presented.

KW - robotic systems

KW - sensors

KW - actuators

KW - collaborative robots

KW - physical human-robot collaboration

KW - human-robot collaboration

KW - human-robot interaction

U2 - 10.1109/TCYB.2019.2947532

DO - 10.1109/TCYB.2019.2947532

M3 - Article

JO - IEEE Transactions on Cybernetics

JF - IEEE Transactions on Cybernetics

SN - 2168-2267

ER -

ID: 16332549