Common Educational Teleoperation Platform for Robotics Utilizing Digital Twins
Kaarlela, Tero; Arnarson, Halldor; Pitkäaho, Tomi; Shu, Beibei; Solvang, Bjørn; Pieskä, Sakari (2022)
Kaarlela, Tero
Arnarson, Halldor
Pitkäaho, Tomi
Shu, Beibei
Solvang, Bjørn
Pieskä, Sakari
MDPI AG
2022
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2023022328385
https://urn.fi/URN:NBN:fi-fe2023022328385
Tiivistelmä
The erratic modern world introduces challenges to all sectors of societies and potentially
introduces additional inequality. One possibility to decrease the educational inequality is to provide
remote access to facilities that enable learning and training. A similar approach of remote resource
usage can be utilized in resource-poor situations where the required equipment is available at
other premises. The concept of Industry 5.0 (i5.0) focuses on a human-centric approach, enabling
technologies to concentrate on human–machine interaction and emphasizing the importance of
societal values. This paper introduces a novel robotics teleoperation platform supported by the i5.0.
The platform reduces inequality and allows usage and learning of robotics remotely independently
of time and location. The platform is based on digital twins with bi-directional data transmission
between the physical and digital counterparts. The proposed system allows teleoperation, remote
programming, and near real-time monitoring of controlled robots, robot time scheduling, and social
interaction between users. The system design and implementation are described in detail, followed
by experimental results.
introduces additional inequality. One possibility to decrease the educational inequality is to provide
remote access to facilities that enable learning and training. A similar approach of remote resource
usage can be utilized in resource-poor situations where the required equipment is available at
other premises. The concept of Industry 5.0 (i5.0) focuses on a human-centric approach, enabling
technologies to concentrate on human–machine interaction and emphasizing the importance of
societal values. This paper introduces a novel robotics teleoperation platform supported by the i5.0.
The platform reduces inequality and allows usage and learning of robotics remotely independently
of time and location. The platform is based on digital twins with bi-directional data transmission
between the physical and digital counterparts. The proposed system allows teleoperation, remote
programming, and near real-time monitoring of controlled robots, robot time scheduling, and social
interaction between users. The system design and implementation are described in detail, followed
by experimental results.