B.Tech Robotics & AI
Course Overview
The B.Tech in Robotics & AI combines mechanical design, electronics, computer science, and automation to prepare students for the future of intelligent robotic systems. The program offers practical exposure to robotics labs, sensors, actuators, embedded systems, and AI models that control autonomous machines.
Course Objectives
- To provide foundational knowledge in robotics, control systems, and sensor technologies.
- To train students in AI-driven decision-making for autonomous systems.
- To develop skills in mechatronics, embedded systems, and real-time robotics programming.
- To encourage innovation in industrial automation, drones, humanoids, and smart manufacturing.
Learning Outcomes
- Ability to design and program robots for industrial and research applications.
- Proficiency in using AI algorithms in navigation, control, and automation.
- Understanding of robotic operating systems (ROS), embedded C, and machine vision.
- Skills to integrate mechanical, electronic, and software components into functional robots.
- Preparedness for careers in robotics engineering, automation, R&D, aerospace, and Industry 4.0 sectors.
Curriculum
Semester 1
Practical
- Python Programming Lab
- Engineering Practices Laboratory
Theory
- Fundamentals of Technical Communication
- Matrices and Calculus
- Applied Physics
- Foundations of Engineering
- Python Programming
- Environmental Science and Sustainable Development
Semester 2
Practical
- Fab Laboratory for Core Engineering
Theory
- Professional Communication Skills
- Analytical Mathematics
- Applied Chemistry
- Engineering Graphics and Computer Aided Design
- Basics of Robotics and AI
- Sensors & Actuators for Robotics
- Foundation Course in Quantitative & Logical Aptitude
Semester 3
Practical
- Design Project I
- Advanced Corporate Communication Lab
- Internship I
Theory
- Applied Mathematics and Transforms
- Basics of Robotics and AI
- Sensors & Actuators for Robotics
- Data Structures
- Department Elective I
- Intermediate Quantitative Aptitude and Verbal Skills
Semester 4
Practical
- Technical Writing and Documentation Lab
- Design Project II
Theory
- Statistics and Data Analytics
- Robot Kinematics and Dynamics
- Power Electronics
- Embedded Systems for Robotics & AI
- Department Elective II
- Non-Department Elective I
- Advanced Aptitude and Logical Reasoning
Semester 5
Practical
- Design Project III
- Internship II
Theory
- Control System for Robots
- Robot Programming and Simulation
- AI in Robotics
- Department Elective III
- Non-Department Elective II
- Entrepreneurship
- Company-Specific Aptitude and Coding Preparation
Semester 6
Practical
- Design Project IV
- Professional Skill and Ethics Lab
Theory
- Robotic Operating System
- Machine Vision and Perception
- Augmented and Virtual Reality
- Department Elective IV
- Non-Department Elective III
- Internet of Robotic Things
- Company-Specific Aptitude & Reasoning Practice
Semester 7
Practical
- English for Competitive Examinations
- Project Phase I
Theory
- Digital Manufacturing
- NLP for Human Robot Interaction
- Cyber Physical Systems
- Department Elective V
- Non-Department Elective IV
- Research Methodology & IPR
Semester 8
Project
- Project Phase II
Programme Elective Courses (PEC)
Robotics
- Mobile and Micro Robotics
- Hydraulic and Pneumatic Drives
- Biomedical Robotics
- Field and Aerial Robotics
- Collaborative Robots
Automation
- Modern Manufacturing Systems
- Micro Electro Mechanical Systems
- NDT and Condition Monitoring
- Digital Signal Processing
- Factory Automation
Artificial Intelligence
- Cloud Services for Robotics Framework
- Data Analytics
- Knowledge Engineering and Expert Systems
- Transfer and Reinforced Learning
- Deep Neural Network
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