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M-TECH in Automation And Robotics at SRM Institute of Science and Technology
Chengalpattu, Tamil Nadu
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About the Specialization
What is Automation and Robotics at SRM Institute of Science and Technology Chengalpattu?
This Robotics and Automation program at SRM Institute of Science and Technology focuses on equipping students with advanced knowledge and practical skills for designing, developing, and deploying intelligent autonomous systems. Addressing the rapidly growing demand in India''''s manufacturing, healthcare, and logistics sectors for smart automation, this program integrates core principles of robotics, artificial intelligence, control systems, and industrial IoT, making it highly relevant to modern industry. It aims to create specialists capable of innovating in a technology-driven world.
Who Should Apply?
This program is ideal for engineering graduates from mechanical, mechatronics, electronics, computer science, and allied branches seeking entry into cutting-edge fields. It also caters to working professionals aiming to upskill in robotics, automation, and AI, or career changers looking to transition into roles involving smart manufacturing, industrial automation, and advanced robotics development within the Indian industry landscape. A strong analytical background is beneficial for applicants.
Why Choose This Course?
Graduates of this program can expect to pursue careers as Robotics Engineers, Automation Specialists, AI/ML Engineers in Robotics, or Research and Development Engineers in India. Starting salaries typically range from INR 6-12 LPA, with significant growth potential in burgeoning sectors like automotive, aerospace, and medical robotics. The curriculum aligns with industry certifications in PLC programming, advanced control, and AI, enhancing professional prospects and preparing them for leadership roles.
Student Success Practices
Foundation Stage
Master Core Robotics and Control Concepts- (Semester 1-2)
Focus intensely on foundational subjects like industrial automation, robotics modeling, microcontrollers, and advanced control systems. Build a strong theoretical base to understand complex robotic operations and system controls.
Tools & Resources
MATLAB/Simulink, Coursera/edX courses on control theory, Arduino/Raspberry Pi for microcontroller practice
Career Connection
A strong grasp of fundamentals is crucial for entry-level roles in R&D, system integration, and automation design, forming the bedrock for advanced projects and problem-solving in industrial settings across India.
Engage in Hands-on Lab Work and Mini Projects- (Semester 1-2)
Actively participate in all laboratory sessions for robotics, DSP, AI, and IIoT. Proactively seek out additional mini-projects or join technical club activities to apply theoretical knowledge practically.
Tools & Resources
University lab equipment (robot arms, PLCs), Python/ROS for robotics programming, IEEE Robotics and Automation Society student chapters
Career Connection
Practical experience translates directly into valuable skills for internships and placements, demonstrating the ability to apply theoretical knowledge to real-world automation challenges faced by Indian industries.
Build a Strong Peer Learning Network- (Semester 1-2)
Collaborate with classmates on assignments, project ideas, and study groups. Share knowledge and learn from diverse perspectives, fostering a supportive academic environment.
Tools & Resources
Dedicated study groups, Communication platforms like Discord or WhatsApp, Peer-led workshops on challenging topics
Career Connection
Networking skills are vital for future collaborations, job referrals, and staying updated with industry trends, fostering teamwork critical in engineering environments within India''''s dynamic tech sector.
Intermediate Stage
Specialize through Electives and Advanced Projects- (Semester 3)
Strategically choose professional electives that align with career interests in specific areas like machine learning for robotics, industrial AI, or human-robot interaction. Utilize Project Phase I for initial research.
Tools & Resources
TensorFlow/PyTorch for ML, Gazebo for advanced simulation, IEEE Xplore for research papers
Career Connection
Specialization makes you a more attractive candidate for niche roles and advanced R&D positions in Indian companies, allowing you to contribute significantly to complex, cutting-edge projects.
Seek Industry Exposure via Internships and Workshops- (Semester 3)
Actively pursue internships during summer breaks with automation companies, manufacturing units, or robotics startups in India. Attend industry-specific workshops to understand current practices.
Tools & Resources
SRM''''s career services portal, LinkedIn for professional networking, Industry-specific webinars and tech conferences
Career Connection
Internships provide invaluable practical experience, industry contacts, and often lead to pre-placement offers, significantly boosting career launch in India''''s competitive job market.
Develop Strong Communication and Presentation Skills- (Semester 3)
Focus on technical paper writing and presentation, refining skills crucial for conveying complex ideas effectively to both technical and non-technical audiences. Utilize the Technical Paper Writing course.
Tools & Resources
Public speaking practice sessions, Technical writing guides and templates, Feedback from faculty and peers during seminars
Career Connection
Clear communication is essential for technical leadership, project management, and securing grants or approvals in any engineering role, especially in collaborative Indian work environments.
Advanced Stage
Excel in Capstone Project (Project Phase II)- (Semester 4)
Dedicate significant effort to the final project, aiming for a novel solution, robust implementation, and thorough documentation. This is your flagship work showcasing your capabilities.
Tools & Resources
Advanced software tools relevant to the project, University lab facilities and research mentorship, Project management methodologies
Career Connection
A high-quality capstone project is a strong portfolio piece, showcasing problem-solving abilities, technical prowess, and research aptitude to potential employers or for further academic pursuits in India or abroad.
Prepare for Placements and Interviews- (Semester 4)
Actively participate in campus placement drives, tailor your resume to specific job roles, and practice technical and HR interview questions extensively. Leverage career services for mock interviews.
Tools & Resources
Mock interview sessions, Review of core subject concepts, Online coding platforms and aptitude tests, Company research for specific roles
Career Connection
Targeted preparation maximizes chances of securing desirable placements in leading robotics and automation companies in India, ensuring a smooth and successful transition into the professional world.
Engage in Lifelong Learning and Professional Development- (Beyond Graduation (initiated in final semester))
Stay updated with the latest advancements in robotics, AI, and automation through continuous learning. The field evolves rapidly, and continuous learning is key to sustained success.
Tools & Resources
Industry journals and research publications, Attending national/international conferences, Online certifications in emerging technologies (e.g., AI, IoT)
Career Connection
Continuous learning ensures long-term career relevance, opens doors for leadership roles, and enables adaptation to evolving industry demands in India and globally, fostering innovation.
Program Structure and Curriculum
Eligibility:
- Bachelor’s degree in Engineering / Technology with 50% marks in aggregate relevant discipline including Mechanical / Mechatronics / Electrical / Electronics / Computer Science / Automation / Robotics / Instrumentation / Automobile Engineering / Production Engineering / Manufacturing Engineering / Industrial Engineering / Aerospace Engineering / Aeronautical Engineering / Computer Integrated Manufacturing / Artificial Intelligence / Data Science / Allied branches of engineering.
Duration: 4 semesters / 2 years
Credits: 66 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| RA2101 | Industrial Automation and Control | Core | 3 | Programmable Logic Controllers, SCADA Systems, Distributed Control Systems, Industrial Sensors, Process Control Strategies |
| RA2102 | Robotics: Modelling and Control | Core | 3 | Robot Kinematics, Robot Dynamics, Trajectory Generation, Robot Control Architectures, Robot Actuators and Sensors |
| RA2103 | Microcontrollers and Embedded Systems for Robotics | Core | 3 | Microcontroller Architecture, Programming Embedded Systems, Interfacing Peripherals, Real-Time Operating Systems, Robotics Applications |
| RA2104 | Advanced Digital Signal Processing | Core | 3 | Discrete-Time Signals, Z-Transforms, Digital Filter Design, Adaptive Filters, DSP Processors |
| RA2121 | Advanced Sensors and Actuators | Professional Elective I | 3 | Sensor Principles, Smart Sensors, MEMS Technology, Actuator Design, Intelligent Actuators |
| RA2105 | Robotics and Automation Laboratory | Lab | 2 | Robot Programming, Sensor Interfacing, PLC Programming, Robot Simulation, Automation System Design |
| RA2106 | Advanced Digital Signal Processing Laboratory | Lab | 2 | DSP Algorithm Implementation, Filter Design, Spectral Analysis, Real-time DSP Applications |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| RA2107 | Artificial Intelligence for Robotics | Core | 3 | AI Principles, Knowledge Representation, Search Algorithms, Machine Learning, Robotics Applications of AI |
| RA2108 | Industrial Internet of Things (IIoT) | Core | 3 | IoT Architectures, Industrial Sensors, Network Protocols, Edge Computing, Industrial Data Analytics |
| RA2109 | Advanced Control Systems | Core | 3 | State Space Analysis, Optimal Control, Adaptive Control, Nonlinear Control Systems, Robust Control |
| RA2110 | Data Analytics for Automation and Robotics | Core | 3 | Data Preprocessing, Statistical Analysis, Machine Learning Algorithms, Predictive Analytics, Robotics Data Applications |
| RA2124 | Advanced Sensor Systems | Professional Elective II | 3 | Sensor Interfacing, Signal Conditioning, Sensor Fusion, Wireless Sensor Networks, IoT Sensors |
| RA2111 | Artificial Intelligence and IIoT Laboratory | Lab | 2 | AI Algorithm Implementation, IoT Device Interfacing, Cloud Platforms, Data Visualization, Robotics AI Applications |
| RA2112 | Mini Project with Seminar | Project | 2 | Project Planning, Design Implementation, System Testing, Documentation, Technical Presentation |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| RA2127 | AI for Industrial Applications | Professional Elective III | 3 | Expert Systems, Fuzzy Logic, Neural Networks, Deep Learning, Industrial AI Use Cases |
| RA2130 | Machine Learning for Robotics | Professional Elective IV | 3 | Supervised Learning, Unsupervised Learning, Reinforcement Learning, Robot Learning, Pattern Recognition |
| RA2133 | Robot Ethics and Safety | Professional Elective V | 3 | Ethical Considerations in Robotics, Robot Safety Standards, Human-Robot Collaboration, Legal Aspects of Robotics, Societal Impact of Automation |
| RA2113 | Project Phase I | Project | 6 | Literature Review, Problem Definition, Methodology Design, Preliminary Results, Project Report Writing |
| RA2114 | Technical Paper Writing and Presentation | Seminar | 1 | Research Paper Structure, Scientific Writing, Data Presentation Techniques, Peer Review Process, Conference Presentation Skills |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| RA2115 | Project Phase II | Project | 12 | System Implementation, Experimental Validation, Data Analysis, Result Interpretation, Thesis Writing and Defense |
