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M-TECH in Robotics at SRM Institute of Science and Technology

SRM Institute of Science and Technology, a premier deemed university established in 1985 in Chennai, Tamil Nadu, is renowned for academic excellence. Accredited with an A++ grade by NAAC, it offers diverse undergraduate, postgraduate, and doctoral programs, including strong engineering and management courses. The institute attracts over 52,000 students and consistently achieves high placements, with a notable highest package of INR 52 LPA for the 2023-24 batch.

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location

Chengalpattu, Tamil Nadu

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About the Specialization

What is Robotics at SRM Institute of Science and Technology Chengalpattu?

This Robotics program at SRM Institute of Science and Technology focuses on equipping students with advanced knowledge in robot kinematics, dynamics, control systems, machine learning, and artificial intelligence for autonomous systems. It is designed to meet the growing demand for skilled professionals in India''''s expanding automation, manufacturing, and R&D sectors. The program emphasizes practical application and research in intelligent robotic solutions.

Who Should Apply?

This program is ideal for engineering graduates with a B.E./B.Tech. in Mechanical, Mechatronics, ECE, CSE, EEE, or related fields, as well as M.Sc. Physics graduates. It caters to fresh graduates seeking entry into the robotics and automation industry, working professionals looking to upskill in cutting-edge robotic technologies, and individuals aspiring for research and development roles in advanced robotics.

Why Choose This Course?

Graduates of this program can expect to pursue career paths as Robotics Engineers, Automation Specialists, AI/ML Scientists for Robotics, and Research Engineers in both Indian and multinational companies. Entry-level salaries for M.Tech Robotics graduates in India typically range from INR 6-12 LPA, with significant growth potential. The program also prepares students for further academic pursuits like PhDs and professional certifications in automation and AI.

Student Success Practices

Foundation Stage

Master Core Robotics Fundamentals- (Semester 1-2)

Dedicating ample time to understanding theoretical concepts in advanced control systems, robot kinematics, and machine learning is crucial. Utilize textbooks, online courses (e.g., Coursera, NPTEL on Control Systems), and peer study groups to solidify foundational knowledge.

Tools & Resources

NPTEL courses, Standard textbooks on Robotics, Peer study groups

Career Connection

A strong grasp of fundamentals is essential for cracking technical interviews and building complex robotic systems in later stages, paving the way for roles in R&D.

Develop Hands-on Simulation and Programming Skills- (Semester 1-2)

Actively engage in Robotics Simulation Lab and Machine Learning for Robotics Lab. Focus on mastering tools like ROS (Robot Operating System), Gazebo, Python for ML, and relevant libraries. Implement algorithms from coursework in simulated environments.

Tools & Resources

ROS (Robot Operating System), Gazebo simulator, Python, OpenCV, TensorFlow/PyTorch

Career Connection

Proficiency in simulation and programming is a primary skill sought by employers in robotics, accelerating entry into development and prototyping roles.

Participate in Robotics Clubs and Competitions- (Semester 1-2)

Join the university''''s robotics club or form teams to participate in national-level robotics competitions (e.g., Robocon, various hackathons). This provides practical problem-solving experience, teamwork, and exposure to real-world challenges.

Tools & Resources

University Robotics Club, National Robotics Competitions (e.g., Robocon), Local hackathons

Career Connection

Such experiences enhance practical skills, build a strong portfolio, and demonstrate initiative, which are highly valued during placements and higher studies.

Intermediate Stage

Undertake Advanced Practical Projects- (Semester 2-3)

Beyond lab exercises, actively pursue mini-projects in areas like robotic vision, advanced mechatronics, and AI applications for robots. Aim to integrate multiple theoretical concepts into a functional system, even if a small-scale prototype.

Tools & Resources

Raspberry Pi/Arduino, Custom sensors/actuators, Open-source vision libraries, CoppeliaSim

Career Connection

These projects demonstrate practical expertise and problem-solving abilities, which are critical for internship and entry-level job applications in India''''s automation sector.

Seek Industry Exposure and Networking Opportunities- (Semester 2-3)

Look for short-term internships, workshops, or industrial visits during breaks to understand the application of robotics in manufacturing, healthcare, or logistics. Attend webinars and virtual conferences to network with industry professionals and researchers.

Tools & Resources

LinkedIn, Industry workshops, Guest lectures by industry experts

Career Connection

Early industry exposure helps align academic learning with market needs and opens doors for future internships and full-time employment within Indian companies.

Focus on Technical Seminar and Paper Writing- (Semester 3)

Utilize the Technical Seminar course to delve deep into a specific research area within robotics. Aim to present innovative ideas and write a concise technical report, mimicking the structure of a research paper. Seek faculty guidance for potential publication.

Tools & Resources

IEEE Xplore, SpringerLink, Scopus, Grammarly

Career Connection

Developing strong technical communication and research skills is crucial for both R&D roles and pursuing a Ph.D., distinguishing candidates in a competitive job market.

Advanced Stage

Excel in Comprehensive Project Work- (Semester 3-4)

Dedicate significant effort to Project Work Phase I and II. Choose a challenging and relevant project, focusing on developing a novel robotic solution or a significant improvement. Ensure thorough documentation, rigorous testing, and clear presentation of results.

Tools & Resources

Version control (Git), Project management tools, Simulation platforms, Academic advisors

Career Connection

A high-quality master''''s project is your ultimate portfolio piece, directly showcasing your capabilities to potential employers or for Ph.D. admissions.

Strategic Placement Preparation and Networking- (Semester 3-4)

Actively engage with SRMIST''''s career services department for resume building, mock interviews, and placement drives. Tailor your skills and project experience to target specific roles in robotics, automation, and AI within top Indian and MNCs.

Tools & Resources

SRMIST Career Services, Online interview platforms, Networking events

Career Connection

Proactive and strategic placement preparation maximizes opportunities for securing high-paying roles in leading technology and manufacturing companies across India.

Advanced Specialization and Mentorship- (Semester 3-4)

Use your elective choices (Professional and Open Electives) to further specialize in areas that align with your career goals, such as autonomous mobile robots, human-robot interaction, or medical robotics. Seek mentorship from faculty or industry experts in your chosen niche for deeper insights.

Tools & Resources

Specialized online courses, Research papers, Faculty and industry mentors

Career Connection

Deep specialization makes you a highly sought-after expert in niche areas, opening doors to advanced R&D roles and leadership positions in India''''s evolving robotics ecosystem.

Program Structure and Curriculum

Eligibility:

  • B.E. / B.Tech. degree in Mechanical Engineering, Mechatronics Engineering, Production Engineering, Automobile Engineering, Electrical and Electronics Engineering, Electronics and Communication Engineering, Computer Science Engineering, Computer and Communication Engineering, Electrical Engineering, Instrumentation and Control Engineering, Electronics and Instrumentation Engineering, or a Master of Science (M.Sc.) degree in Physics/Applied Physics with Mathematics as one of the subjects at the graduate level.

Duration: 4 semesters / 2 years

Credits: 72 Credits

Assessment: Internal: 50%, External: 50%

Semester-wise Curriculum Table

Semester 1

Subject CodeSubject NameSubject TypeCreditsKey Topics
RBO21001Advanced Control SystemsCore3Linear Systems and Stability, State Space Analysis, Optimal Control, Adaptive Control, Robust Control, Nonlinear Control Systems
RBO21002Robot Kinematics and DynamicsCore3Robot Fundamentals, Forward Kinematics, Inverse Kinematics, Jacobian and Manipulator Dynamics, Trajectory Generation
RBO21003Machine Learning for RoboticsCore3Introduction to Machine Learning, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Deep Learning for Robotics
RBO21701Robotics Simulation LabLab2Robot simulation software tools, Kinematics and dynamics simulation, Path planning and trajectory generation, Robot manipulation tasks, Gazebo and ROS
RBO21702Machine Learning for Robotics LabLab2Python for ML, Supervised learning algorithms implementation, Unsupervised learning algorithms implementation, Reinforcement learning applications, Deep learning frameworks
RBO21901Research Methodology and IPRCore2Research Problem Formulation, Research Design, Data Collection and Analysis, Report Writing, Intellectual Property Rights, Patents and Trademarks
Professional Elective IElective3

Semester 2

Subject CodeSubject NameSubject TypeCreditsKey Topics
RBO21004Robotic VisionCore3Image Processing Fundamentals, Feature Extraction, Stereo Vision, Object Recognition, 3D Reconstruction, Visual Servoing
RBO21005Advanced MechatronicsCore3Mechatronics System Design, Sensors and Actuators, Microcontrollers and PLCs, Data Acquisition, System Integration and Control
RBO21006Artificial Intelligence for RoboticsCore3AI Fundamentals, Search Algorithms, Knowledge Representation, Planning and Reasoning, Robotics and AI Applications
RBO21703Robotic Vision LabLab2Image acquisition and processing, Feature detection and matching, Object recognition and tracking, Stereo vision implementation, Visual feedback control
RBO21704Advanced Mechatronics LabLab2Sensor and actuator interfacing, Microcontroller programming, PID control implementation, Motor control systems, Integrated mechatronic system development
Professional Elective IIElective3
Professional Elective IIIElective3

Semester 3

Subject CodeSubject NameSubject TypeCreditsKey Topics
RBO21902Project Work Phase IProject6Problem identification and literature review, System design and architecture, Methodology development, Preliminary experimental setup, Data collection and initial analysis
RBO21903Technical SeminarSeminar1Literature review and topic selection, Presentation skills, Technical writing, Research paper analysis, Discussion and Q&A
Professional Elective IVElective3
Professional Elective VElective3
Open Elective IElective3

Semester 4

Subject CodeSubject NameSubject TypeCreditsKey Topics
RBO21904Project Work Phase IIProject19Prototype development and implementation, Extensive experimentation and testing, Performance evaluation and validation, Results analysis and interpretation, Thesis writing and defense
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