Suha Teachingster

Project Title

Suha Teachingster

Project Area of Specialization Artificial IntelligenceProject Summary

Alongside the evolution in social sciences, computer science, too, developed over time. Sixty years ago, computers were very large, and were very limited. Today, they are much smaller, much faster, much more powerful and offer incredible possibilities of interfacing with people through sensors and actuators. We have now many software and hardware tools which can capture, understand, and analyze a lot of signals and meanings. We can capture speech, sounds, gestures, shapes, etc.  Through the emergence of big data and machine learning, we can analyze new data, find correspondence, and predict future patterns. A social robot is defined as “an autonomous entity that interacts and communicates with humans or other autonomous physical agents by following social behaviors and rules attached to its role”. Social robots interact with people in social contexts. Therefore, they must understand the social context, i.e., understand users’ behaviors, emotions, and respond with the appropriate gestures, facial expressions, and gaze. The challenge is to provide algorithms to sense, analyze situations and intentions and make appropriate decisions. A social robot project in Switzerland was EVA (2008-2012), a robotic tutor . The overall goal of this project was to develop a long-term social interaction framework with a human-like robot or Virtual Human, modelling emotions, episodic memory, and expressive behavior. One of our main motivation over time is not only to produce a technical innovation but also to contribute to Art. In our country, the use of the Cozmo robot as a tool to engage and teach about traffic rules to younger children in a fun and interactive manner in Pakistan. This was the first effort of its kind to encourage traffic rules learning in children through using the social robot in the schools of Pakistan. One of the innovations of artificial intelligence is the acceptance and usage of AI in the learning area as a smart classroom. It is the world of intelligent learning through the coordination of innovation and its crossing point with the educational plan to drive the message over. In this regard, we will design and develop a social interaction system in classroom environment using a robot. A teacher has to repeat the same lecture multiple times due to which the quality of the lecture is reduced. Additionally, a teacher is biased and become exasperated up due to students behavior or psychological factors. A robot on the other hand is unbiased and never gets tired which will enhance the education standard. Our motivation is to make robot socially interactive with students. We can corelate it with the concept of smart classrooms. 

Project Objectives

The main theories behind Educational Robotics are constructivism and constructionism. Piaget argues that manipulating artefacts is a key for children to construct their knowledge. Educators role is to offer opportunities for children to engage in hands-on explorations and to provide tools for children to construct knowledge in the classroom environment. Educational Robotics creates a learning environment in which children can interact with their environment and work with real-world problems; in this sense Educational Robotics can be a great tool for children to have constructionist learning experiences. Robotics have a potential impact on student's learning in different subject areas (Physics, Mathematics, Engineering, Informatics and more) and on personal development including cognitive, meta-cognitive and social skills, such as: research skills, creative thinking, decision making, problem solving, communication and team working skills, all of them being essential skills necessary in the workplace of the 21st century. Our robot will check the sleeplessness of the students that whether they are in a dizzy condition or not. Automatic Speech Recognition (ASR) is a complex task, which depends on language, vocabulary and context. In the navigation control of mobile robots, the set of possible interpretations for a command utterance may be reduced in favor of the recognition rate increase, if we consider that the robot’s work environment is quite defined and with constant elements. Our robot will have ASR(Automated Speech Recognition). The success of social robotics is directly linked to their ability of interacting with people. Humans possess verbal and non-verbal communication skills, and, therefore, both are essential for social robots to get a natural human–robot interaction.  In robotics, a Text to Speech (TTS) system is the most common speech synthesizer technique. The performance of a speech synthesizer is mainly evaluated by its similarity to the human voice in relation to its intelligibility and expressiveness. Our robot will have the ability to convert the text to speech. OCR (Optical Character Recognition) modules are being used in robotics. They allow robots to understand text, an essential function in some robotic applications. OCR capability enables robots to handle items identified by imprinted text. Our robot will have that ability of OCR. A chatbot is just a robot chat that imitates human conversations through voice commands, text chats, or both based on server or cloud. It's a virtual conversation in which one party is an online talking robot. Inside the artificial intelligence of a chatbot is machine learning and what's known as natural-language processing (NLP). 

Project Implementation Method

RNN(Recurent neural network)

CNN(Convolutionary neural network)

OCR(Optical Charcter Recognition)

TTS(Text to Speech)

ASR(Automated Speech Recognition)

STT(Speech to Text)

Cloud / Server

NLP(Natural Language Procesing)

ML(Machine Learning)

Deep Learning

Benefits of the Project

Robots could be used in repetitive tasks and could assist teachers in delivering their teaching material. Moreover, robots could improve student learning because they are fast and reliable. Delegating repetitive tasks will help teachers to focus more on other tasks that might be more complex than others. 

Will Robot Teachers Replace Human Ones?

No. The most likely scenario is that robots will complement the effort of teachers.

Robots can stand in for teachers when a student needs a one-on-one session and find new ways to engage students. Telepresence observations use a video camera on wheels to permit movement around the classroom. It transmits real-time classroom activities through live video and audio feeds to observers. The use of a telepresence robot within observation experiences represents an innovation to support and evaluate teachers’ work. Further, the affordances of a robot allow for in-depth attention to teaching nuances such as the movement of teachers and students around the classroom, zeroing in on specific elements of teaching rather than the classroom as a whole, and portability. Positively, technological support has the potential to access teaching demonstrations across settings and over time thereby providing vantage points for pinpointing teaching practices in ways that are in-depth and specific. We believe that educational robotics can be used to foster positive and collaborative relations between students and, at the same time, provide a context to assess the changing networks in the classroom. Invigilators are responsible for supervising examsthrough some form of surveillance, ensuring that with theirpresence students are reluctant to engage in cheating fromone another or through other prohibited means . The primary function of an invigilator is todiscourage dishonest and disrespectful practices, like cheat-ing; secondarily, is to prevent that these practices lead tothe formation of enduring and lasting dishonest habits andtraits, which are likely to corrupt the character of the stu-dents. Human teachers are forced to go to great lengths tomaintain a check on cheating and hence invigilation is anadministrative burden. In trying to developrobot invigilators, we are pursuing an attempt to imbue tech-nology with an educational and a moral function at once,contributing towards both areas of Virtuous Robots as well Educational Robots. 

Technical Details of Final Deliverable

Humanoid robots are intended to look and behave somewhat like people and they usually have some means of communicating with them. We will develop a teaching assistant humanoid robot. The roles of the human teacher change over time with needs, new tools and teaching aids, but the capabilities and nature of AI promote teaching robots to new levels of relationship with the teacher and the learner. In student-teacher interaction, the human teacher generally controls the conversation, and the student responds. With a robot, the student can have a more balanced dialogue and be the instigator of actions, as would be the case in everyday conversation. Some students also suffer from a more or less crippling performance emotion, like anxiety and embarrassment, which sets up an affective barrier to the development of proficiency in speaking a second language . Instead of anxiously interacting with a human teacher, or another student, talking with a robot can be less emotive, and so it provides a potentially useful bridge to conversational proficiency, less anxiety and more positive attitudes to learning. 

Image Link:- https://drive.google.com/file/d/1cIldUPGhxLKwZobuGEPJPMSmXNlybd4J/view?usp=sharing

We will make a humanoid robot which adjusts its orientation to the angle that increases the signal-to-noise ratio of speech. In other words, the robot turns its face to ’hear’ the speaker better, similar to what people with auditory deficiencies do. The robot tracks a speaker with a binaural sound source localisation system (SSL) that uses spiking neural networks to model relevant areas in the mammalian auditory pathway for SSL. The accuracy of speech recognition is doubled when the robot orients towards the speaker in an optimal angle and listens only through one ear instead of averaging the input from both ears. It will detect the gestures of different actions performed by the human's hands. It will use camera for face detection or for other purpose required.

Final Deliverable of the Project HW/SW integrated systemCore Industry ITOther Industries Education Core Technology Artificial Intelligence(AI)Other Technologies RoboticsSustainable Development Goals Quality Education, Reduced InequalityRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	75000
micro controler jetson neno 4 GB	Equipment	1	45000	45000
logitech camera	Equipment	1	4000	4000
wifi card	Equipment	1	4000	4000
servo motors	Equipment	4	1000	4000
aurdino mega	Equipment	1	1000	1000
motor driver	Equipment	2	1000	2000
electronics compnent	Equipment	1	5000	5000
travel	Miscellaneous	1	5000	5000
battery	Miscellaneous	1	5000	5000