Attention Please !
Amrita Vishwa Vidyapeetham has not appointed any Agent or Third-Party Client for securing admission in any programme. Students are hereby requested to contact only the toll-free number on our website for any admission related queries.
- Issued in public interest by Directorate of Admissions and Academic Outreach
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.
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.
| Cat. | Code | Title | L T P | Credit |
| SCI | 23MAT126 | Mathematics for Intelligent Systems – 1 | 2 0 3 | 3 |
| SCI | 23PHY108 | Engineering Physics | 2 1 0 | 3 |
| GEC | 23CSE116 | C Programming | 2 0 3 | 3 |
| GEC | 23EEE105 | Basic Electrical and Electronics Engineering | 3 0 3 | 4 |
| GEC | 23MEE106 | Engineering Graphics and 3D Modelling | 1 0 3 | 2 |
| HUM | 22AVP103 | Mastery Over Mind | 1 0 2 | 2 |
| HUM | 22ADM101 | Foundations of Indian Heritage | 2 0 1 | 2 |
| HUM | 23ENG101 | Technical Communication | 2 0 3 | 3 |
| HUM | 23ENV300 | Environmental Science | — | (P/F) |
| TOTAL | 22 |
| Cat. | Code | Title | L T P | Credit |
| SCI | 23MAT131 | Mathematics for Intelligent Systems – 2 | 2 0 3 | 3 |
| GEC | 23CSE117 | Object Oriented Programming | 2 0 3 | 3 |
| GEC | 23MEE112 | Elements of Mechanical Engineering | 3 0 0 | 3 |
| GEC | 23MEE116 | Engineering Mechanics | 2 1 0 | 3 |
| GEC | 23MEE182 | Manufacturing Practices-B | 0 0 3 | 1 |
| ENG | 23ECE118 | Sensors and Signal Processing | 3 0 3 | 4 |
| ENG | 23RAI111 | Fundamentals of Artificial Intelligence | 3 0 0 | 3 |
| HUM | 22ADM111 | Glimpses of Glorious India | 2 0 1 | 2 |
| TOTAL | 22 |
| Cat. | Code | Title | L T P | Credit |
| SCI | 23MAT221 | Mathematics for Intelligent Systems – 3 | 2 0 3 | 3 |
| GEC | 23CSE207 | Python Programming | 1 0 3 | 2 |
| GEC | 23MEE207 | Design Thinking | 1 0 3 | 2 |
| GEC | 23MEE208 | Materials Science | 2 0 3 | 3 |
| ENG | 23MEE209 | Theory of Mechanisms and Machines | 3 0 3 | 4 |
| ENG | 23EEE206 | Actuators and Drives | 3 0 0 | 3 |
| ENG | 23ECE207 | Micro Controllers and Embedded Systems | 3 0 3 | 4 |
| HUM | Amrita Value Program 1 | 1 0 0 | 1 | |
| ADC | 23LAW300 | Indian Constitution | (P/F) | |
| HUM | 23LSE201 | Life Skills for Engineers I | 1 0 2 | P/F |
| TOTAL | 22 |
| Cat. | Code | Title | L T P | Credit |
| SCI | 23MAT226 | Mathematics for Intelligent Systems – 4 | 2 0 3 | 3 |
| ENG | 23CSE215 | Data Science | 2 0 3 | 3 |
| ENG | 23RAI211 | Kinematics of Robotic Systems | 3 0 0 | 3 |
| ENG | 23EEE216 | Control Systems | 3 0 0 | 3 |
| ENG | 23MEE216 | Manufacturing Processes | 2 0 3 | 3 |
| ENG | 23RAI281 | Robot Kinematics and Control System Lab | 0 0 3 | 1 |
| ELE | Free Elective** | 2 0 0 | 2 | |
| HUM | 23LSE211 | Life Skills for Engineers II | 1 0 2 | 2 |
| HUM | Amrita Value Program 2 | 1 0 0 | 1 | |
| TOTAL | 21 |
| Cat. | Code | Title | L T P | Credit |
| SCI | 23MAT307 | Graph Theory Algorithms for Robotics | 2 0 3 | 3 |
| ENG | 23RAI301 | Fluid Power Systems | 2 0 0 | 2 |
| ENG | 23RAI302 | Dynamics and Control of Robotic Systems | 3 0 0 | 3 |
| ENG | 23RAI303 | Machine Learning | 3 0 3 | 4 |
| ENG | 23RAI304 | Robot Operating System | 1 0 3 | 2 |
| ENG | 23RAI381 | Fluid Power Systems and Robot Dynamics & Control Lab | 0 0 3 | 1 |
| ENG | 23RAI305 | Introduction to Drones | 1 0 3 | 2 |
| ADC | 23RAI300 | Research Methodology | – | P/F |
| ELE | 23LIV390* | Professional Elective 1 / Live-in-Lab I* | 3 0 0 | 3 |
| HUM | 23LSE301 | Life Skills for Engineers III | 1 0 2 | 2 |
| TOTAL | 22 |
| Cat. | Code | Title | L T P | Credit |
| ENG | 23MEE316 | Additive Manufacturing | 1 0 3 | 2 |
| ENG | 23RAI311 | Mobile Robots | 3 0 0 | 3 |
| ENG | 23RAI312 | Deep Learning | 2 0 3 | 3 |
| ENG | 23RAI313 | IoT and Automation | 2 0 3 | 3 |
| ENG | 23RAI382 | Mobile Robots Lab | 0 0 3 | 1 |
| PRJ | 23RAI398 | Mini Project | 0 0 6 | 2 |
| ELE | 23LIV490* | Professional Elective 2 / Live-in-Lab II* | 3 0 0 | 3 |
| ELE | Professional Elective 3* | 3 0 0 | 3 | |
| HUM | 23LSE311 | Life Skills for Engineers IV | 1 0 2 | 2 |
| TOTAL | 22 |
| Cat. | Code | Title | L T P | Credit |
| ENGG | 23RAI401 | Computer Integrated Manufacturing | 3 0 0 | 3 |
| ENGG | 23RAI402 | Reinforcement Learning | 2 0 3 | 3 |
| ENGG | 23RAI481 | System Simulation Laboratory | 0 0 3 | 1 |
| ELE | Professional Elective 4* | 3 0 0 | 3 | |
| ELE | Professional Elective 5* | 3 0 0 | 3 | |
| PRJ | 23RAI497 | Summer Internship | – | 1 |
| PRJ | 23RAI498 | Project Phase I | – | 4 |
| TOTAL | 18 |
| Cat. | Code | Title | L T P | Credit |
| PRJ | 23RAI499 | Project Phase II | – | 8 |
| ELE | Professional Elective 6* | 3 0 0 | 3 | |
| TOTAL | 11 |
*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 2 NPTEL courses with credits not exceeding 8.
** Free Electives – This will include courses offered by the Faculty of Humanities and Social Sciences / Faculty of 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.
| Cat. | Code | Title | L T P | Credit |
| BASKET 1: FIELD / SERVICE ROBOTS | ||||
| ENG | 23RAI331 | Bio-Inspired Robots | 3 0 0 | 3 |
| ENG | 23RAI332 | Humanoid Robots | 3 0 0 | 3 |
| ENG | 23RAI333 | Medical Robots | 3 0 0 | 3 |
| ENG | 23RAI334 | Underwater Robots | 3 0 0 | 3 |
| ENG | 23RAI335 | Cognitive Robots | 3 0 0 | 3 |
| ENG | 23RAI336 | Advanced Drones Technology | 2 0 3 | 3 |
| BASKET 2: ADVANCED ROBOTICS TECHNOLOGIES | ||||
| ENGG | 23RAI341 | Intelligent Control Systems for Robots | 3 0 0 | 3 |
| ENGG | 23RAI342 | Optimization for Robot Modelling | 2 0 3 | 3 |
| ENGG | 23RAI343 | Computer Vision and Image Processing | 3 0 0 | 3 |
| ENGG | 23RAI344 | Advanced Materials for Robotics | 3 0 0 | 3 |
| ENGG | 23RAI345 | Advanced Robotics and Analysis | 3 0 0 | 3 |
| ENGG | 23RAI346 | Simulation Modeling of Engineering Systems | 3 0 0 | 3 |
| BASKET 3: AI/ INTELLIGENT SYSTEMS | ||||
| ENGG | 23RAI351 | Big Data Analytics | 3 0 0 | 3 |
| ENGG | 23RAI352 | Big Data and Database Management | 3 0 0 | 3 |
| ENGG | 23RAI353 | Al in Natural Language Processing | 3 0 0 | 3 |
| ENGG | 23RAI354 | Al in Speech Processing | 3 0 0 | 3 |
| ENGG | 23RAI355 | Machine Learning Based Condition Monitoring | 3 0 0 | 3 |
| ENGG | 23RAI356 | Digital Twins | 2 0 3 | 3 |
| ENGG | 23RAI357 | Cloud Computing | 3 0 0 | 3 |
| ENGG | 23RAI358 | Mobile Application Development | 3 0 0 | 3 |
| ENGG | 23RAI359 | Virtual and Augmented Reality | 3 0 0 | 3 |
| ENGG | 23RAI360 | Cyber Security | 2 0 3 | 3 |
| BASKET 4: ADVANCED SENSORS AND COMMUNICATION SYSTEMS | ||||
| ENGG | 23RAI371 | Smart Sensors | 3 0 0 | 3 |
| ENGG | 23RAI372 | E Nose for Robots | 3 0 0 | 3 |
| ENGG | 23RAI373 | Human Computer Interaction | 3 0 0 | 3 |
| ENGG | 23RAI374 | UAV Networks | 3 0 0 | 3 |
| ENGG | 23RAI375 | Introduction of Cyber Vehicle System | 3 0 0 | 3 |
| ENGG | 23RAI376 | V2X Connected Cars | 3 0 0 | 3 |
| ENGG | 23RAI377 | Introduction to Computer Networks | 3 0 0 | 3 |
| BASKET 5: ADVANCED MANUFACTURING TECHNOLOGIES | ||||
| ENGG | 23MEE356 | Advanced Manufacturing Processes | 3 0 0 | 3 |
| ENGG | 23MEE320 | Advanced Metrology and Sensing Systems | 3 0 0 | 3 |
| ENGG | 23MEE326 | Smart Manufacturing | 3 0 0 | 3 |
| ENGG | 23MEE328 | Micro and Nano Electromechanical Systems | 3 0 0 | 3 |
| ENGG | 23MEE329 | Intelligent Manufacturing Systems | 3 0 0 | 3 |
| ENGG | 23MEE357 | Advanced Materials and Processes | 3 0 0 | 3 |
| ENGG | 23MEE325 | Simulation Modeling of Manufacturing Systems | 3 0 0 | 3 |
| ENGG | 23MEE327 | Sustainable Manufacturing | 3 0 0 | 3 |
| ENGG | 23MEE330 | Functional and Conceptual Design | 3 0 0 | 3 |
| List of courses in Amrita Value Programme I & II | |||
| Course Code | Title | L-T-P | Credits |
| 22ADM201 | Strategic Lessons from Mahabharatha | 1-0-0 | 1 |
| 22ADM211 | Leadership from Ramayana | 1-0-0 | 1 |
| 22AVP210 | Kerala Mural Art and Painting | 1-0-0 | 1 |
| 22AVP218 | Yoga Therapy and Lessons | 1-0-0 | 1 |
| 22AVP212 | Introduction to Traditional Indian Systems of Medicine | 1-0-0 | 1 |
| 22AVP201 | Amma’s Life and Message to the modern world | 1-0-0 | 1 |
| 22AVP204 | Lessons from the Upanishads | 1-0-0 | 1 |
| 22AVP205 | Message of the Bhagavad Gita | 1-0-0 | 1 |
| 22AVP206 | Life and Message of Swami Vivekananda | 1-0-0 | 1 |
| 22AVP207 | Life and Teachings of Spiritual Masters of India | 1-0-0 | 1 |
| 22AVP208 | Insights into Indian Arts and Literature | 1-0-0 | 1 |
| 22AVP213 | Traditional Fine Arts of India | 1-0-0 | 1 |
| 22AVP214 | Principles of Worship in India | 1-0-0 | 1 |
| 22AVP215 | Temple Mural Arts in Kerala | 1-0-0 | 1 |
| 22AVP218 | Insights into Indian Classical Music | 1-0-0 | 1 |
| 22AVP219 | Insights into Traditional Indian Painting | 1-0-0 | 1 |
| 22AVP220 | Insights into Indian Classical Dance | 1-0-0 | 1 |
| 22AVP221 | Indian Martial Arts and Self Defense | 1-0-0 | 1 |
| 22AVP209 | Yoga and Meditation | 1-0-0 | 1 |
| CHEMISTRY | ||||
| Cat. | Course Code | Title | L T P | Credit |
| SCI | 23CHY240 | Computational Chemistry and Molecular Modelling | 3 0 0 | 3 |
| SCI | 23CHY241 | Electrochemical Energy Systems and Processes | 3 0 0 | 3 |
| SCI | 23CHY242 | Fuels and Combustion | 3 0 0 | 3 |
| SCI | 23CHY243 | Green Chemistry and Technology | 3 0 0 | 3 |
| SCI | 23CHY244 | Instrumental Methods of Analysis | 3 0 0 | 3 |
| SCI | 23CHY245 | Batteries and Fuel Cells | 3 0 0 | 3 |
| SCI | 23CHY246 | Corrosion Science | 3 0 0 | 3 |
| PHYSICS | ||||
| SCI | 23PHY240 | Advanced Classical Dynamics | 3 0 0 | 3 |
| SCI | 23PHY241 | Electrical Engineering Materials | 3 0 0 | 3 |
| SCI | 23PHY242 | Physics of Lasers and Applications | 3 0 0 | 3 |
| SCI | 23PHY243 | Concepts of Nanophysics and Nanotechnology | 3 0 0 | 3 |
| SCI | 23PHY244 | Physics of Semiconductor Devices | 3 0 0 | 3 |
| SCI | 23PHY245 | Astrophysics | 3 0 0 | 3 |
| Mathematics | ||||
| SCI | 23MAT240 | Statistical Inference | 3 0 0 | 3 |
| SCI | 23MAT241 | Introduction to Game Theory | 3 0 0 | 3 |
| SCI | 23MAT242 | Numerical Methods and Optimization | 3 0 0 | 3 |
| FREE ELECTIVES OFFERED UNDER MANAGEMENT STREAM | ||||
| Cat. | Course Code | Title | L T P | Credit |
| HUM | 23MNG331 | Financial Management | 3 0 0 | 3 |
| HUM | 23MNG332 | Supply Chain Management | 3 0 0 | 3 |
| HUM | 23MNG333 | Marketing Management | 3 0 0 | 3 |
| HUM | 23MNG334 | Project Management | 3 0 0 | 3 |
| HUM | 23MNG335 | Enterprise Management | 3 0 0 | 3 |
| HUM | 23MNG336 | Operations Research | 3 0 0 | 3 |
| HUM | 23MEE321 | Industrial Engineering | 3 0 0 | 3 |
| HUM | 23MEE322 | Managerial Statistics | 3 0 0 | 3 |
| HUM | 23MEE323 | Total Quality Management | 3 0 0 | 3 |
| HUM | 23MEE324 | Lean Manufacturing | 3 0 0 | 3 |
| HUM | 23CSE321 | Software Project Management | 3 0 0 | 3 |
| HUM | 23CSE322 | Financial Engineering | 3 0 0 | 3 |
| HUM | 23CSE323 | Engineering Economic Analysis | 3 0 0 | 3 |
| HUM | 23CSE324 | Information Systems | 3 0 0 | 3 |
Eligibility
Educational Qualification: A pass in 12th class or equivalent from a recognized board with not less than 55% in Physics, Chemistry & Mathematics separately and an aggregate minimum of 60% in Physics, Chemistry & Mathematics.
Admission to all the B.Tech programmes for the year 2024 is based on any one of the following:
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.
Design and develop cost-effective robotic systems catering to Industrial and Societal requirements.
Develop cost-effective, safe, and efficient AI-based automation systems for manufacturing applications, focusing on product development and process improvement.
Apply the acquired knowledge and skills in AI to address real-life multidisciplinary engineering problems.
The top reasons to choose Amrita for your career
