Work

Human Robot Interaction for Future Remote Manipulations in Industry 4.0

Year: 2020

Type: article

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.

Source: IFAC-PapersOnLine

DOI: 10.1016/j.ifacol.2020.12.2752

Authors: Ayan Ghosh, Daniel Alonso Paredes Soto, Sandor M Veres, Anthony Rossiter

Institution: University of Sheffield

Language: English

Topic: Teleoperation and Haptic Systems

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: diamond

Funder: Engineering and Physical Sciences Research Council

Awards: G1712194404, G2898516364, Robotics and Artificial Intelligence for Nuclear (RAIN)