A Case Study of Adding Proactivity in Indoor Social Robots Using Belief–Desire–Intention (BDI) Model
The rise of robots and robotics has proved to be a benefaction to humankind in different aspects. Robotics evolved from a simple button, has seen massive development over the years. Consequently, it has become an integral part of human life as robots are used for a wide range of applications ranging...
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Format: | Article |
Language: | English |
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MDPI AG
2019-11-01
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Series: | Biomimetics |
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Online Access: | https://www.mdpi.com/2313-7673/4/4/74 |
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author | Ujjwal K. C. Jacques Chodorowski |
author_facet | Ujjwal K. C. Jacques Chodorowski |
author_sort | Ujjwal K. C. |
collection | DOAJ |
description | The rise of robots and robotics has proved to be a benefaction to humankind in different aspects. Robotics evolved from a simple button, has seen massive development over the years. Consequently, it has become an integral part of human life as robots are used for a wide range of applications ranging from indoor uses to interplanetary missions. Recently, the use of social robots, in commercial indoor spaces to offer help or social interaction with people, has been quite popular. As such, taking the increasing use of social robots into consideration, many works have been carried out to develop the robots to make them capable of acting like humans. The notion behind this development is the need for robots to offer services without being asked. Social robots should think more like humans and suggest possible and suitable actions by analyzing the environment where they are. Belief−desire−intention (BDI) is one of the most popular models for developing rational agents based on how humans act based on the information derived from an environment. As such, this work defines a foundation architecture to integrate a BDI framework into a social robot to add “act like a human” feature for proactive behaviors. The work validates the proposed architecture by developing a vision-based proactive action using the PROFETA BDI framework in an indoor social robot, <i>Waldo</i>, operated by the robot operating system (ROS). |
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format | Article |
id | doaj.art-d52ec5d4f7524b9ba242b25aa5e2fc0d |
institution | Directory Open Access Journal |
issn | 2313-7673 |
language | English |
last_indexed | 2024-12-13T04:11:15Z |
publishDate | 2019-11-01 |
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series | Biomimetics |
spelling | doaj.art-d52ec5d4f7524b9ba242b25aa5e2fc0d2022-12-22T00:00:04ZengMDPI AGBiomimetics2313-76732019-11-01447410.3390/biomimetics4040074biomimetics4040074A Case Study of Adding Proactivity in Indoor Social Robots Using Belief–Desire–Intention (BDI) ModelUjjwal K. C.0Jacques Chodorowski1Discipline of ICT, University of Tasmania, Hobart, Tasmania 7005, AustraliaOrange Labs, 2 Avenue Pierre Marzin, 22300 Lannion, FranceThe rise of robots and robotics has proved to be a benefaction to humankind in different aspects. Robotics evolved from a simple button, has seen massive development over the years. Consequently, it has become an integral part of human life as robots are used for a wide range of applications ranging from indoor uses to interplanetary missions. Recently, the use of social robots, in commercial indoor spaces to offer help or social interaction with people, has been quite popular. As such, taking the increasing use of social robots into consideration, many works have been carried out to develop the robots to make them capable of acting like humans. The notion behind this development is the need for robots to offer services without being asked. Social robots should think more like humans and suggest possible and suitable actions by analyzing the environment where they are. Belief−desire−intention (BDI) is one of the most popular models for developing rational agents based on how humans act based on the information derived from an environment. As such, this work defines a foundation architecture to integrate a BDI framework into a social robot to add “act like a human” feature for proactive behaviors. The work validates the proposed architecture by developing a vision-based proactive action using the PROFETA BDI framework in an indoor social robot, <i>Waldo</i>, operated by the robot operating system (ROS).https://www.mdpi.com/2313-7673/4/4/74social robotsproactivitybelief–desire–intention (bdi) modelrobot operating system (ros) |
spellingShingle | Ujjwal K. C. Jacques Chodorowski A Case Study of Adding Proactivity in Indoor Social Robots Using Belief–Desire–Intention (BDI) Model Biomimetics social robots proactivity belief–desire–intention (bdi) model robot operating system (ros) |
title | A Case Study of Adding Proactivity in Indoor Social Robots Using Belief–Desire–Intention (BDI) Model |
title_full | A Case Study of Adding Proactivity in Indoor Social Robots Using Belief–Desire–Intention (BDI) Model |
title_fullStr | A Case Study of Adding Proactivity in Indoor Social Robots Using Belief–Desire–Intention (BDI) Model |
title_full_unstemmed | A Case Study of Adding Proactivity in Indoor Social Robots Using Belief–Desire–Intention (BDI) Model |
title_short | A Case Study of Adding Proactivity in Indoor Social Robots Using Belief–Desire–Intention (BDI) Model |
title_sort | case study of adding proactivity in indoor social robots using belief desire intention bdi model |
topic | social robots proactivity belief–desire–intention (bdi) model robot operating system (ros) |
url | https://www.mdpi.com/2313-7673/4/4/74 |
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