A BDI Architecture for High Level Robot Deliberation

Gottifredi, Sebastián; Tucat, Mariano; Corbatta, Daniel; García, Alejandro Javier; Simari, Guillermo Ricardo

doi:10.4114/ia.v14i46.1540

Cited by 15 publications

(9 citation statements)

References 3 publications

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“…It consists of beliefs (B), desires (D), and intentions (I), and it is a model in which an agent selects a goal to be achieved from its beliefs and desires and the means (plan) to achieve it, forms and maintains an intention to execute the plan selected as the means, and acts according to the intention. This model has also been studied in robotics [19]. Since it attempts to model human rational thought, it is difficult to implement reflexive behavior without using beliefs and intentions.…”

Section: Multimodal Dialogue Android Based On Intentions and Desiresmentioning

confidence: 99%

Embodiment in Dialogue: Daily Dialogue Android Based on Multimodal Information

Uchida

Minato²,

Ishiguro

2022

IOP Conf. Ser.: Mater. Sci. Eng.

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The research and development of robots that can have daily dialogues autonomously with humans have become increasingly important. Most of them, however, have been limited to studies on speech recognition and interfaces. As the result, they still cannot build relationships with humans through long-term daily dialogue. In this background, we have developed a robot that can understand human relationships with their intentions and desires, and can interact with them in human-like ways through various modalities. In this chapter, we first describe an android platform for multimodal interaction based on intentions and desires. Here, both the user’s and the robot’s subjective preferences and opinions are essential. Then, we introduce a function to model the user’s preference, which is necessary for building human relationships. We also discuss the relationship between dialogue and the opinions that can be attributed to the android considering its embodiment. Finally, based on the above studies, we discuss the embodiment in dialogue and future work.

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Section: Multimodal Dialogue Android Based On Intentions and Desiresmentioning

confidence: 99%

Embodiment in Dialogue: Daily Dialogue Android Based on Multimodal Information

Uchida

Minato²,

Ishiguro

2022

IOP Conf. Ser.: Mater. Sci. Eng.

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“…An automated testbench was implemented for simulation of cooperative task assembly between a humanoid robot and people in the robot operating system and Gazebo. A soccer-playing robot based on BDI architecture was developed by Gottifredi et al [32] which allowed the specification of declarative goal-driven behavior based on high-level reasoning and reactivity when required. The work of Duffy et al [33] developed a multi-layered BDI architecture with an egocentric robot control strategy to make robots capable of explicit social behavior.…”

Section: Application Of Bdi Models In Robotsmentioning

confidence: 99%

A Case Study of Adding Proactivity in Indoor Social Robots Using Belief–Desire–Intention (BDI) Model

Chodorowski

2019

Biomimetics

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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, Waldo, operated by the robot operating system (ROS).

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“…This system architecture provides the necessary level of abstraction that makes cognitive reasoning. This design allows abstraction and modulation of the different aspects of the complex domain represents the robotic football [12].…”

Section: State Of the Artmentioning

confidence: 99%

A BDI Agent System for the Collaboration of the Unmanned Aerial Vehicle

Dominguez¹,

Hernández-Vega²,

Gorham³

et al. 2016

RCS

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This project describes the implementation of a BDI architecture for solving problems of collaboration and coordination among aerial mobile robots used through Unmanned Aerial Vehicle (UAV). A Multi-Agent System is implemented in people search and it is developed on Jason software.The benefits of developing this model is diverse such as optimizing the collaborative work among intelligent agents being able to use artificial intelligence in aerial mobile robots, improving the decision making process.

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A BDI Architecture for High Level Robot Deliberation

Cited by 15 publications

References 3 publications

Embodiment in Dialogue: Daily Dialogue Android Based on Multimodal Information

Embodiment in Dialogue: Daily Dialogue Android Based on Multimodal Information

A Case Study of Adding Proactivity in Indoor Social Robots Using Belief–Desire–Intention (BDI) Model

A BDI Agent System for the Collaboration of the Unmanned Aerial Vehicle

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