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B. Tech Robotics and Artificial Intelligence ( B.Tech.)

Course Duration

8 Semesters
(4 Years)

Eligibility Criteria

Pass in PUC / 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the subjects - Chemistry / Biotechnology / Biology / Computer Science / Electronics / Technical Vocational subjects and obtained at least 45% marks (40% in case of candidate belonging to SC/ST category) in the above subjects taken together, of any Board recognized by the respective State Governments / Central Government / Union Territories or any other qualification recognized as equivalent thereto.

Overview

Robotics engineering is an interdisciplinary branch of Electronics & Communication Engineering, Mechanical Engineering, and Electrical & Electronics Engineering. It introduces students to the domains of construction, design, application, and operation of robots. Recent developments in the field of robotics have helped in bringing forth a new era of technology and myriad career opportunities.

The newly-launched undergraduate programme at REVA University covers:

  • Advances in artificial intelligence and sensor technologies that allow robots to cope with a far greater degree of task-to-task variability.
  • The ability to adapt robotic actions in response to changes in their environment that will create opportunities for automation in the areas such as agriculture, industrial automation, healthcare, transportation and defense sectors.
  • Simultaneous Localization and Mapping (SLAM) integrated by computer vision technologies that are the future industry trends achieved through Robotics and Artificial Intelligence.

The job role of robotics engineers usually includes working on the design of the models, assembling, testing machines, and maintaining the software that controls them. Robotic engineers are responsible for planning, testing, and building robots that are profitable, safe, and also easy to buy and maintain.

Course Curriculum

01Calculus and Differential Equations (Course Code: B23AS0101)

02Engineering Chemistry (Course Code: B23AS0104)

03Communication Skills (Course Code: B22AH0103)

04Programming with C (Course Code: B22CI0104)

05Elements of Mechanical Engineering (Course Code: B22ME0103)

06IoT and Applications (Course Code: B22EN0101)

07Innovation & Entrepreneurship (Course Code: B23ME0102)

08Engineering Chemistry Lab (Course Code: B22AS0105)

09Programming with C Lab (Course Code: B22CI0108)

10Engineering Workshop (Course Code: B22ME0104)

01Integral Transforms (Course Code: B23AS0201)

02Engineering Physics (Course Code: B23AS0202)

03Introduction to Accounting (Course Code: B22EN0102)

04Introduction to Data Science (Course Code: B23CS0104)

05Basics of Electrical and Electronics Engineering (Course Code: B22EE0101)

06Elements of Civil Engineering and Engineering Mechanics (Course Code: B22ED0101)

07Computer Aided Engineering Drawing (Course Code: B22ME0101)

08Engineering Physics Lab (Course Code: B23AS0207)

09Data Science Lab (Course Code: B23CS0108)

10Basics of Electrical and Electronics Lab (Course Code: B22EE0102)

11Skill Development Course-1 (Course Code: B22EN0201)

12Tree Plantation in Tropical Region: Benefits and Strategic Planning (Course Code: B22AS0208)

01Linear Algebra and Partial Differential Equations (Course Code: B22AS0305)

02Fundamentals of Robotics and Applications (Course Code: B22EO0301)

03Analog and Digital Electronics (Course Code: B22EO0302)

04Sensors and Actuators for Robotics (Course Code: B22EO0303)

05Python Programming and Applications (Course Code: B22EN0304)

06Fundamentals of Robotics and Applications Lab (Course Code: B22EO0304)

07Analog and Digital Electronics Lab (Course Code: B22EO0305)

08Course based project on Sensors and Actuators for Robotics (Course Code: B22EO0306)

09Universal Human Values (Course Code: B22EE0310)

10Technical Documentation (Course Code: B22EN0308)

11Indian Constitution (Course Code: B22MEM301)

12Skill Development -2 (Course Code: B22EO0307)

01Probability and Random Process (Course Code: B22AS0402)

02Robot Kinematics and Dynamics (Course Code: B22EO0401)

03Microcontrollers for Robotics (Course Code: B22EO0402)

04Signal Conditioning and Data Acquisition systems (Course Code: B22EO0403)

05Industrial Automation Using PLC (Course Code: B22EO0404)

06Professional Elective-1

  • Signals and Networks (Course Code: B22EOS411)
  • Strength of Materials (Course Code: B22EOS412)
  • Power Electronics (Course Code: B22EOS413)
  • Object Oriented Programming using C++ (Course Code: B22EOS414)

07Microcontrollers for Robotics Lab (Course Code: B22EO0405)

08Industrial Automation Using PLC Lab (Course Code: B22EO0406)

09Course Based project on Microcontrollers for Robotics (Course Code: B22EO0407)

10Professional Ethics (Course Code: B22CS0301)

11Entrepreneurship (Course Code: B22CI0309)

12Environmental Science (Course Code: B22AS0403)

Programme Educational Objectives (PEOs)

After few years of graduation, the graduates of B. Tech. (Robotics and Artificial Intelligence) will be able:

PEO-1

To establish successful careers as innovative engineers in industry, government, academia, and the military, specializing in Robotics and Artificial Intelligence technologies, and driving forward cutting-edge advancements in automation and AI systems.

PEO-2

To proficiently solve complex engineering problems throughout the lifecycle of Robotics and AI systems by effectively communicating and collaborating in multidisciplinary teams, either as leaders or as team members, ensuring seamless integration of Robotics and Intelligent systems.

PEO-3

To actively pursue continuous learning and professional development through participation in professional organizations, obtaining relevant certifications, engaging in lifelong learning opportunities, and advancing their knowledge through higher education and research.

PEO-4

To serve society both locally and globally as responsible engineers, taking up roles in entrepreneurship, leadership, and innovation to foster economic growth, generate employment, and address societal challenges through Robotics and AI-driven solutions.

Knowledge and Attitude Profile (WK)

WK1: A systematic, theory-based understanding of the natural sciences applicable to the discipline and awareness of relevant social sciences.

WK2: Conceptually-based mathematics, numerical analysis, data analysis, statistics and formal aspects of computer and information science to support detailed analysis and modelling applicable to the discipline.

WK3: A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline.

WK4: Engineering specialist knowledge that provides theoretical frameworks and bodies of knowledge for the accepted practice areas in the engineering discipline; much is at the forefront of the discipline.

WK5: Knowledge, including efficient resource use, environmental impacts, whole-life cost, re-use of resources, net zero carbon, and similar concepts, that supports engineering design and operations in a practice area.

WK6: Knowledge of engineering practice (technology) in the practice areas in the engineering discipline.

WK7: Knowledge of the role of engineering in society and identified issues in engineering practice in the discipline, such as the professional responsibility of an engineer to public safety and sustainable development.

WK8: Engagement with selected knowledge in the current research literature of the discipline, awareness of the power of critical thinking and creative approaches to evaluate emerging issues.

WK9: Ethics, inclusive behavior, and conduct. Knowledge of professional ethics, responsibilities, and norms of engineering practice. Awareness of the need for diversity by reason of ethnicity, gender, age, physical ability etc. with mutual understanding and respect, and of inclusive attitudes.

Programme Outcomes (POs)

On successful completion of the program, the graduates of B. Tech. (Robotics and Artificial Intelligence) program will be able to:

PO 1 Engineering knowledge:

Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.

PO 2 Problem analysis:

Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)

PO 3 Design/development of solutions:

Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)

PO 4 Conduct investigations of complex problems:

Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8).

PO 5 Engineering Tool Usage:

Create, select, and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)

PO 6 The Engineer and The World:

Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).

PO 7 Ethics:

Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)

PO 8 Individual and Collaborative Team work:

Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.

PO 9 Communication:

Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences

PO 10 Project Management and Finance:

Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.

PO 11 Life-Long Learning:

Recognize the need for, and have the preparation and ability for

  • Independent and life-long learning
  • Adaptability to new and emerging technologies and
  • Critical thinking in the broadest context of technological change. (WK8)

Programme Specific Outcomes

On successful completion of the program, the graduates of B. Tech. (Robotics and Artificial Intelligence) program will be able to:

  • PSO-1: Design and develop intelligent robotic systems and AI-driven solutions that are cost-effective, sustainable, and capable of addressing real-world engineering, industrial, and societal challenges using advanced tools, techniques, and AI algorithms.
  • PSO-2: Model, simulate, and implement autonomous and intelligent systems that are reliable, secure, and efficient across a wide range of industries, focusing on robotics, AI, and automation to optimize manufacturing, healthcare, logistics, and other sectors.
  • PSO-3: Apply interdisciplinary knowledge of robotics, AI, machine learning, and data analytics to create innovative solutions for complex challenges, contributing to the advancement of technologies in diverse fields such as autonomous vehicles, smart systems, and collaborative robotics

Career Opportunities

  • Robotics design and programming
  • Industrial automation
  • Computer-Aided Manufacturing
  • Agriculture engineering
  • Aerospace engineering and defence sectors
  • Autonomous systems and Vehicles
  • Core electronics industry
  • Software development (ROS programming)
  • Gaming Industry
Fee
  • Indian / SAARC Nationals₹ 1000
  • NRI Fee ₹ 2000
  • Foreign NationalsUS$ 50
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Notifications

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Nov
2025

International Conference on Language, Literature and Linguistics - ICLLL 2025

16 /

Oct
2025

Exploring Innovative Pathways for Knowledge Integration

09 /

Oct
2025

6th International Conference on Recent Trends in Applied and Computational Mathematics (ICRTACM-2025)

26 /

Sep
2025

REVA University Inter School Table Tennis Tournament (Men/Women) – 2025

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2025

REVA University Inter School Kho-Kho Tournament (Men/Women) – 2025

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2025

Code The Future With Ai

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2025

AiFi Club Presents CODEATHON

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2025

IGNITE 2025

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2025

REVA University Inter School Kabaddi Tournament (Men/Women) – 2025

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2025

Aavesham 2025 - Onam Celebrations at REVA

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