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

Ujjwal K C,Jacques Chodorowski

doi:10.3390/biomimetics4040074

Ujjwal K C, Jacques Chodorowski

Open Access

https://doi.org/10.3390/biomimetics4040074

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Abstract

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).

Highlights

We first discuss the basic concepts of social robots and proactivity and their relevance in our daily lives
The main goal of this study is to develop a flexible and modular framework using existing technologies that could facilitate the integration of different blocks as modules to the framework, which contribute in the development of proactive behaviors in a social robot controlled by robot operating system (ROS)
We present the validation of the proposed system design for the integration of various logical modules like the BDI model and open-source computer vision library (OpenCV) into ROS for proactive behaviors

Summary

Introduction

We first discuss the basic concepts of social robots and proactivity and their relevance in our daily lives. We converge these concepts to form the primary objective of creating additional value by adding proactivity in robot operating system (ROS) powered indoor social robots by using a belief–desire–intention (BDI) model. The way how robots serve the human has a broader scope. With the evolution of time, the way to define a robot has changed from “a term for mechanical men that were built to work for assembling products in a factory” to “an entity which humans can have social interactions with”.

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