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Overview

The Robotics and Artificial Intelligence (R&AI) undergraduate programme is an amalgamation of multiple disciplines of engineering such as Mechanical Engineering, Electrical Engineering and Computer Science and Engineering. R&AI programme introduces the main technologies underlying the development of Robotic and Intelligent systems, including Machine Learning (ML) and AI, that sense and interact with their physical environment. AI empowers the robots making them more efficient to perceive learn and make decisions like humans. Industries are going through the fourth industrial revolution (Industry 4.0) which utilizes Robotics and AI to perform the data intensive and repetitive tasks for achieving human robot collaboration. Hence, the need for a skilled workforce in industries with knowledge of Robotics & AI is in growing demand.

The students will get trained in the areas of robotics and AI through the well-structured curriculum designed with the participation from the industry experts and the academicians. Students will get an opportunity to study and implement multidisciplinary concepts such as machine vision, machine learning, edge computing, IoT, Cobots, and Industry 4.0. The coursework such as mathematics for intelligent systems, fundamentals of AI, Deep learning, Big Data Analytics, Reinforcement Learning, etc., equip students with the abilities to implement several AI projects to hone skills such as critical thinking, problem-solving and practical implementation of AI in robotic technologies. Students also get an opportunity to avail of student exchange programs at other universities where similar research on AI is being focused. The interdisciplinary lab experience gained by the students through the projects and group activities imparts the necessary knowledge to fetch either a job or admission to higher studies aspired by the students.

After completing the program, the students will have strong knowledge of designing, developing, and testing algorithms for implementing AI in robotic systems for industrial and societal applications. The graduating students can design highly efficient machines and human-friendly interfaces for intelligently automating robotic systems addressing the modern challenges in automation. In addition to the core engineering courses, the students are given exposure to imparting human values and life-long learning skills.

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Overview

The Robotics and Artificial Intelligence (R&AI) undergraduate programme is an amalgamation of multiple disciplines of engineering such as Mechanical Engineering, Electrical Engineering and Computer Science and Engineering. R&AI programme introduces the main technologies underlying the development of Robotic and Intelligent systems, including Machine Learning (ML) and AI, that sense and interact with their physical environment. AI empowers the robots making them more efficient to perceive learn and make decisions like humans. Industries are going through the fourth industrial revolution (Industry 4.0) which utilizes Robotics and AI to perform the data intensive and repetitive tasks for achieving human robot collaboration. Hence, the need for a skilled workforce in industries with knowledge of Robotics & AI is in growing demand.

The students will get trained in the areas of robotics and AI through the well-structured curriculum designed with the participation from the industry experts and the academicians. Students will get an opportunity to study and implement multidisciplinary concepts such as machine vision, machine learning, edge computing, IoT, Cobots, and Industry 4.0. The coursework such as mathematics for intelligent systems, fundamentals of AI, Deep learning, Big Data Analytics, Reinforcement Learning, etc., equip students with the abilities to implement several AI projects to hone skills such as critical thinking, problem-solving and practical implementation of AI in robotic technologies.
Students also get an opportunity to avail of student exchange programs at other universities where similar research on AI is being focused. The interdisciplinary lab experience gained by the students through the projects and group activities imparts the necessary knowledge to fetch either a job or admission to higher studies aspired by the students.

After completing the program, the students will have strong knowledge of designing, developing, and testing algorithms for implementing AI in robotic systems for industrial and societal applications. The graduating students can design highly efficient machines and human-friendly interfaces for intelligently automating robotic systems addressing the modern challenges in automation. In addition to the core engineering courses, the students are given exposure to imparting human values and life-long learning skills.

Curriculum

Semester I
Course Title L T P Cr
Mathematics for Intelligent Systems – 1 2 0 2 3
C Programming 2 0 3 3
Basic Electrical and Electronics Engineering 3 0 3 4
Engineering Graphics and 3D Modelling 1 0 3 2
Elements of Mechanical Engineering 3 0 0 3
Mastery Over Mind (MOM) 1 0 2 2
Cultural Education – I 2 0 0 2
Technical Communication 3 0 0 3
Environmental Science (P/F)
Total 22
Semester II
Course Title L T P Cr
Mathematics for Intelligent Systems – 2 2 0 2 3
Object Oriented Programming 2 0 3 3
Computer Hardware Essentials 2 0 3 3
Engineering Mechanics 2 1 0 3
Sensors and Actuators 3 0 2 4
Fundamentals of Artificial Intelligence 2 0 3 3
Manufacturing Practices 0 0 3 1
Cultural Education – II 2 0 0 2
Indian Constitution (P/F)
Total 22
Semester III
Course Title L T P Cr
Mathematics for Intelligent Systems – 3 2 0 2 3
Python Programming 0 0 3 1
Design Thinking 1 0 3 2
Theory of Mechanisms & Machines 3 1 0 4
Micro Controllers and Embedded Systems 3 0 3 4
Metallurgy and Materials Science 2 0 3 3
Manufacturing Process 3 0 0 3
Amrita Value Programme I 1 0 0 1
Total 21
Semester IV
Course Title L T P Cr
Mathematics for Intelligent Systems – 4 2 0 3 3
Data Science 2 0 3 3
Kinematics of Robotic Systems 3 0 3 4
Control Systems 3 0 3 4
Additive Manufacturing 1 0 3 2
Free Elective 2 0 2 2
Soft Skills – I 1 0 3 2
Research Methodology 0 0 3 1
Amrita Value Programme II 1 0 0 1
Total 22
Semester V
Course Title L T P Cr
Graph Theory Algorithms for Robotics 2 0 3 3
Fluid Power System 2 0 3 3
Dynamics and Control of Robotic Systems 3 0 3 4
Machine Learning 3 0 3 4
Introduction to Drones 1 0 3 2
Professional Elective 1 3 0 0 3
Soft Skills II 1 0 3 2
Design Project 0 0 3 1
Total 22
Semester VI
Course Title L T P Cr
Robot Operating System 2 0 3 3
Design and Control of Mobile Robots 2 0 3 3
Deep Learning 3 0 3 4
IoT and Automation 2 0 3 3
Professional Elective 2 0 0 0 3
Professional Elective 3 3 0 0 3
Soft Skills III 1 0 3 2
Total 21
Semester VII
Course Title L T P Cr
Computer Integrated Manufacturing 3 0 0 3
Robot Navigation 2 0 3 3
CNC and System Simulation Laboratory 1 0 3 2
Professional Elective 4 3 0 0 3
Professional Elective 5 3 0 0 3
Summer Internship 1
Project Phase I 4
Total 19
Semester VIII
Course Title L T P Cr
Summer Internship / Project Phase II 8
Professional Elective 6 3 0 0 3
Total 11
Total Credit 160
Eligibility

Admission

Professional Elective:
Electives categorized under Engineering, Science, Mathematics, Live-in- Labs, and NPTEL Courses. Students can opt for such electives across departments/campuses. Students with a CGPA of 7.0 and above can opt for a maximum of 2 NPTEL courses with credits not exceeding 8.

Free Electives:
This will include courses offered by the Faculty of Humanities and Social Sciences / Faculty Arts, Commerce and Media / Faculty of Management/Amrita Darshanam – (International Centre for Spiritual Studies)

Live-in-Labs:
Students undertaking and registering for a Live-in-Labs project can be exempted from registering for an Elective course in the higher semester.

Program Specific Outcomes

PSO1

Design and develop cost-effective robotic systems catering to Industrial and Societal requirements.

PSO2

Develop cost-effective, safe, and efficient AI-based automation systems for manufacturing applications, focusing on product development and process improvement.

PSO3

Apply the acquired knowledge and skills in AI to address real-life multidisciplinary engineering problems.

Why Amrita

The top reasons to choose Amrita for your career

601-800th

World University Rankings 2019

141

BRICS Rankings 2020

801–1000th

World University Rankings 2019

168th

BRICS University Rankings 2020

7th

India University Rankings 2023

15th

Overall Rankings 2023
ranking
7th Best
University in India
ranking
Amrita Ranked No.1 in India Top 100 in The World
ranking
Topmost
‘A++’ Grade
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