Robotics and Artificial Intelligence

Introduction

The Bachelor of Engineering (B.E.) in Robotics and Artificial Intelligence is a dynamic and innovative program designed to equip students with the skills and knowledge required to excel in the rapidly evolving fields of robotics and AI. This interdisciplinary program combines fundamental principles of engineering with cutting-edge technologies, enabling students to design, develop, and implement intelligent robotic systems.

Throughout the course, students will delve into core subjects such as machine learning, computer vision, control systems, sensor technology, and robotic kinematics. They will learn how to integrate hardware and software components to create autonomous systems capable of solving complex real-world problems. The curriculum emphasizes hands-on learning, with practical labs and project-based assignments that allow students to apply theoretical concepts to practical scenarios.

Students will also explore ethical and societal implications of robotics and AI, preparing them to address challenges related to privacy, security, and the impact of automation on the workforce. The program fosters critical thinking, problem-solving, and teamwork skills, essential for success in this interdisciplinary field.

The Department of Robotics and Artificial Intelligence, starting from the year 2024-25 with an intake of 60. Graduates of the B.E. in Robotics and Artificial Intelligence will be well-prepared for careers in industries such as manufacturing, healthcare, agriculture, and defense, where they can contribute to the development of innovative robotic solutions and intelligent systems. They will also have a strong foundation for pursuing advanced studies and research in robotics, AI, and related areas.

Vision

Mission

Program Educational Objectives(PEOs)

Program Specific Outcomes(PSOs)

Program Outcomes (POs)

PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems
PO2: Problem analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences
PO3: Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations
PO4: Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions
PO5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations
PO6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice
PO7: Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development
PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice
PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings
PO10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions
PO11: Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments
PO12: Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change

Department Advisory Board

FACULTY

Infrastructure

Laboratories

  • Robotics Lab Design, build, and program robotic systems using different platforms. They work on projects involving robotic arms, mobile robots, and autonomous vehicles.
  • Machine Learning Lab Implement machine learning algorithms and models, such as neural networks, decision trees, and reinforcement learning, using programming languages like Python and tools like TensorFlow.
  • Computer Vision Lab Explore image processing and computer vision techniques to enable robots to interpret and understand visual information from their surroundings.
  • Control Systems Lab Design and implementing control algorithms for robotic systems, including PID controllers and state-space controllers.
  • AI and Natural Language Processing Lab Students work on projects related to artificial intelligence, including natural language processing, chatbots, and voice-controlled systems.
  • Sensor and Actuator Lab This lab focuses on interfacing various sensors and actuators with microcontrollers to gather data and control robotic systems.
  • Hydraulics & Pneumatics Lab – Setup in association with Bosch Rexroth

These labs and practicals are designed to complement the theoretical knowledge gained in lectures and provide students with the skills needed to tackle real-world robotics and AI challenges.

SCHEME AND SYLLABUS

2023-24 – Scheme || Syllabus

Beyond Syllabus

Technical Talks

Technical talks are conducted by inviting eminent speakers in the respective domains. This will help to learn topics beyond the syllabus.

Flipped Classroom

Flipped Classroom is an instructional strategy and a type of blended learning focused on student engagement and active learning. It gives the instructor a better opportunity to deal with mixed levels of students. It allows for addressing the student difficulties. The students are given a task to summarize and understand a topic by watching video lectures at home and present it in the classroom.

Brainstorming

It provides the students to perform group discussion and produce ideas or solve problems. Students are asked to discuss about the topic and present their views. The faculties will summarize it. It helps to improve the presentation skill of the students.

Multimedia enabled Learning

Learning is enhanced by using Multimedia tools that include PPT, Animations etc.  It enhances the learning experience.

Workshops

Workshops are conducted to provide hands on experience.

Video Links for Additional Learning

Sl. NoSubject nameSubject codeVideo links

DISTINGUISHED ALUMNI

News Letter

Student Achievements