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PG Programmes

M.Tech in Robotics and Artificial Intelligence

M.Tech
Robotics and Artificial Intelligence

M.Tech. in Robotics and Artificial Intelligence is an interdisciplinary engineering program designed to equip students with the knowledge and skills to develop intelligent, autonomous systems. These M.Tech Artificial Intelligence programs blend core concepts from robotics, artificial intelligence, automation, and control systems to build smart machines capable of performing complex tasks in dynamic environments.

The curriculum of M.Tech in Robotics and Artificial Intelligence covers critical areas such as machine learning, computer vision, embedded systems, control theory, and the Internet of Things (IoT). Students also gain proficiency in programming languages like Python and C++, as well as experience with AI frameworks and robotics hardware. Through hands-on laboratory work, projects, and internships, students apply theoretical knowledge to real-world problems, enhancing both technical and practical understanding.

Advanced topics in M.Tech in Robotics and Artificial Intelligence, such as deep learning, reinforcement learning, and swarm intelligence, are introduced to enable autonomous decision-making and adaptive behavior in robotic systems. These skills are increasingly valuable in industries such as healthcare, manufacturing, space exploration, logistics, and autonomous transportation, where intelligent automation is reshaping the future.

With the global surge in demand for AI-driven technologies, graduates of Robotics and AI programs are well-positioned for lucrative careers in research, development, and innovation, contributing to solutions for real-world challenges and shaping the next generation of intelligent systems.

Curriculum Structure
First Semester
S.NoCourse CodeCourse TitleLTPTotalCredits
125M31EC111Introduction to Robots3--33
225M31EC112Robotic Control System3--33
318M11GE111Research Methodology and Intellectual Property Rights2--22
4-DE-I3--33
5-DE-II3--33
625M35EC111Robotics Lab--221
725M35EC112Robot Design and Modelling Lab--221
825M35EC113AI and Machine Learning for Robotics Lab--221
Total2017
Second Semester
S.NoCourse CodeCourse TitleLTPTotalCredits
125M31EC113Sensors and Actuators for Robotics3--33
225M31EC114Robotic Operating System3--33
3-DE-III3--33
4-DE-IV3--33
5-DE-V3--33
6-Audit-I2--2Qualifying
725M35EC114Advanced Mechatronics and Automation Lab--442
825M35EC115Humanoid and Quadruped Robotics Lab--221
917M11EC120Mini Project with Seminar, PBL-I--442
Total2720
Third Semester
S.NoCourse CodeCourse TitleLTPTotalCredits
117M17EC218Seminar & Term Paper / MOOCs / Supervised Study--444
2-Open Elective3--33
3-Audit-II2--2Qualifying
425M15EC211Mini Project with Seminar, PBL-II---84
517M17EC219/220/221Dissertation / Industrial / Entrepreneurial Project---84
Total2515
Fourth Semester
S.NoCourse CodeCourse TitleLTPTotalCredits
117M17EC222/223/224Dissertation / Industrial Project / Entrepreneurial Project---3216
Total3216
ELECTIVES
  • DE-I: AI & ML for Robotics, Deep Learning, Data Analytics, Speech Processing
  • DE-II: Embedded System Design, FPGA Design, PLC Systems
  • DE-III: Process Control, Industry 5.0
  • DE-IV: Computer Vision, Human Language Computing
  • DE-V: Humanoid Robots, Drone Technology
  • Audit-I :English for Research Paper Writing (19M11HS113)
  • Audit-II :Ethics and Safety in Robotics, Ethical Challenges in AI
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