Human Robot Interaction for Future Remote Manipulations in Industry 4.0

Ayan Gosh; Daniel Alonso Paredes Soto; Sandor M. Veres; John Anthony Rossiter

doi:10.1016/j.ifacol.2020.12.2752

Human Robot Interaction for Future Remote Manipulations in Industry 4.0

Ayan Gosh, Daniel Alonso Paredes Soto, Sandor M. Veres, John Anthony Rossiter

Research output: Contribution to journal › Conference article › peer-review

22 Citations (Scopus)

Abstract

In the nuclear industry it is still common to rely on tele-operated robots. Tele-operation however can be strenuous and demanding on operating personnel and productivity can be low without advanced HRI interfaces. Today, the world is moving towards Industry 4.0. With that vision, this paper introduces the concept of Remotely Instructed Robots (RIRs), which are reliable yet rely on human intelligence. RIRs can accept high and low level instructions from the operator and execute tasks based on operators’ descriptions and at a variety of complexity levels. The paper outlines an agent model of RIRs and furthermore, presents how it could be implemented inside nuclear gloveboxes to achieve novel human robot interaction.

Original language	English
Pages (from-to)	10223-10228
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	53
Issue number	2
DOIs	https://doi.org/10.1016/j.ifacol.2020.12.2752
Publication status	Published - 2020
Externally published	Yes

Keywords

Digital twin
Industry4.0
Remotely Instructed robots
Safe Human-robot Interaction

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10.1016/j.ifacol.2020.12.2752

Cite this

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title = "Human Robot Interaction for Future Remote Manipulations in Industry 4.0",

abstract = "In the nuclear industry it is still common to rely on tele-operated robots. Tele-operation however can be strenuous and demanding on operating personnel and productivity can be low without advanced HRI interfaces. Today, the world is moving towards Industry 4.0. With that vision, this paper introduces the concept of Remotely Instructed Robots (RIRs), which are reliable yet rely on human intelligence. RIRs can accept high and low level instructions from the operator and execute tasks based on operators{\textquoteright} descriptions and at a variety of complexity levels. The paper outlines an agent model of RIRs and furthermore, presents how it could be implemented inside nuclear gloveboxes to achieve novel human robot interaction.",

keywords = "Digital twin, Industry4.0, Remotely Instructed robots, Safe Human-robot Interaction",

author = "Ayan Gosh and {Paredes Soto}, {Daniel Alonso} and Veres, {Sandor M.} and Rossiter, {John Anthony}",

note = "Funding Information: This work was supported by EPSRC Grant No. EP/R026084/1, Robotics and Artificial Intelligence for Nuclear (RAIN), UK.",

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doi = "10.1016/j.ifacol.2020.12.2752",

language = "English",

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AU - Gosh, Ayan

AU - Paredes Soto, Daniel Alonso

AU - Veres, Sandor M.

AU - Rossiter, John Anthony

N1 - Funding Information: This work was supported by EPSRC Grant No. EP/R026084/1, Robotics and Artificial Intelligence for Nuclear (RAIN), UK.

PY - 2020

Y1 - 2020

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AB - In the nuclear industry it is still common to rely on tele-operated robots. Tele-operation however can be strenuous and demanding on operating personnel and productivity can be low without advanced HRI interfaces. Today, the world is moving towards Industry 4.0. With that vision, this paper introduces the concept of Remotely Instructed Robots (RIRs), which are reliable yet rely on human intelligence. RIRs can accept high and low level instructions from the operator and execute tasks based on operators’ descriptions and at a variety of complexity levels. The paper outlines an agent model of RIRs and furthermore, presents how it could be implemented inside nuclear gloveboxes to achieve novel human robot interaction.

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KW - Safe Human-robot Interaction

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DO - 10.1016/j.ifacol.2020.12.2752

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Human Robot Interaction for Future Remote Manipulations in Industry 4.0

Abstract

Keywords

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