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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

01Applied Calculus and Differential Equations for Engineers

02Engineering Physics

03Elements of Mechanical Engineering

04Programming with C

05Internet of Things

06Engineering Physics Lab

07Programming with C Lab

08Innovation & Entrepreneurship

09Innovation & Entrepreneurship

10Communicative English

11ETC 1-Introduction to Gen AI and Prompt Engineering

01Integral Transforms and Applications

02Engineering Chemistry

03Basics of Electrical and Electronics Engineering

04Fundamentals of Data Science

05Elements of Civil Engineering and Mechanics

06Fundamentals of Data Science Lab

07Basics of Electrical and Electronics Lab

08Computer Aided Engineering Drawing

09Finance and Management

10ETC 2-Robotic Internet of Things

01Mathematics for Intelligent Systems - I

02Industrial Robotics and Kinematics

03Analog and Digital Electronics for Robotics

04AI for Robotics

05Python Programming and Applications

06Professional Elective - 1

07Robotics and Kinematics Lab

08Analog and Digital Electronics Lab for Robotics

09Python Programming and Applications Lab

10Course Based Project - 1

11Professional Ethics

12Universal Human Values

13Environmental Science

14AEC / SDC

01Mathematics for Intelligent Systems - II

02Dynamics and Trajectory Planning

03Microcomputers and Embedded Systems

04Sensors, Actuators and Signal Conditioning

05ML for Robotics

06Professional Elective - 2

07Microcomputers and Embedded Systems Lab

08ML for Robotics Lab

09Signal Conditioning and Data Acquisition Lab

10Course Based Project - II

11Technical Documentation

12Introduction to Design Thinking

13Indian Constitution and Cyber Law

14AEC / SDC

01Control System Engineering

02Deep Learning and Neural Network

03Industrial Automation Using PLC

04Professional Elective - 3

05Professional Elective - 4

06Open Elective - 1

07Control Systems Lab

08Industrial Automation Using PLC Lab

09Deep Learning and Neural Network Lab

10AEC / SDC

01ROS and Robot Programming

02Computer Vision Systems

03Smart Sensors

04Aerial Robots and Drone Technology

05Professional Elective - 5

06Open Elective - 2

07ROS and Robot Programming Lab

08Smart Sensor Lab

09Machine Vision Systems Lab

10Indian Knowledge Systems

11Mini Project

01Autonomous Robot Systems

02Advanced Artificial Intelligence

03Professional Elective - 6

04Major Project Phase – 1

05Autonomous Robot Systems Lab

06(MOOC) / Internship

01Major Project Phase –2

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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