Abstract
This paper endeavors to propose a novel cognitive architecture specialized for Teaching Assistant (TA) social robotic platforms. Designing such architectures could lead to a more systematic approach in using TA robots. The proposed architecture consists of four main blocks: Perception, Memory, Logic and Action Units. The designed cognitive architecture would help robots to perform a variety of visual, acoustic, and spatial sub-tasks based on cognitive theories and modern educational methods. It also provides a way to enable an operator to control the robot with defined plans and teaching scenarios. The proposed architecture is modular, minimalistic, extendable, and ROS compatible. This architecture can help teaching-assistant robots to be involved in common/expected educational scenarios, systematically. Our preliminary exploratory study was a case study that adopted the proposed architecture for RASA, a social robotic platform aimed at teaching Persian Sign Language (PSL) to hearing-impaired children. The last step is the evaluation. We observed that the architecture’s capabilities adequately matched RASA’s needs for its applications in teaching sign language.
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Acknowledgment
This research was partially funded by the “Iran Telecommunication Research Center (ITRC)” and “National Elites Foundation” of Iran. We also appreciate the consultations received from our friend and colleague Mr. Mohammad Zakipour.
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Hosseini, S.R., Taheri, A., Meghdari, A., Alemi, M. (2018). “Let There Be Intelligence!”- A Novel Cognitive Architecture for Teaching Assistant Social Robots. In: Ge, S., et al. Social Robotics. ICSR 2018. Lecture Notes in Computer Science(), vol 11357. Springer, Cham. https://doi.org/10.1007/978-3-030-05204-1_27
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