GATE Robotics and Automation (RA) 2027 is a specialised paper designed for students who want to build a career in robotics, automation, artificial intelligence-based systems, and advanced manufacturing technologies. The exam evaluates your knowledge of engineering mathematics, mechatronics, robotics principles, automation systems, electrical engineering, and mechanical engineering concepts.
If you are planning to pursue M.Tech, research programmes, or explore career opportunities in robotics and automation industries, qualifying for GATE RA can open several academic and professional pathways. Before beginning your preparation, understanding the GATE Robotics and Automation syllabus, exam pattern, eligibility criteria, important subjects, colleges, salary opportunities, previous year papers, and preparation strategy will help you create an effective study plan.
The GATE Robotics and Automation (RA) exam is conducted annually as a Computer-Based Test (CBT). The paper assesses candidates on fundamental concepts related to robotics systems, automation technologies, engineering mathematics, programming, control systems, and mechatronics.
The important highlights of the GATE RA exam are given below:
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GATE Robotics and Automation Exam Overview |
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Particular |
Details |
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Exam Name |
GATE Robotics and Automation (RA) 2027 |
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Conducting Body |
Indian Institute of Technology (IIT) Madras |
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Exam Mode |
Online Computer-Based Test (CBT) |
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Exam Duration |
3 Hours |
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Language |
English |
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Total Marks |
100 Marks |
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Total Questions |
65 Questions |
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Question Types |
MCQ, MSQ, NAT |
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Sections |
General Aptitude, Engineering Mathematics, Robotics and Automation Subjects |
Before applying for the examination, you should check whether you meet the required GATE RA eligibility criteria.
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GATE Robotics and Automation Eligibility Criteria 2027 |
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Parameter |
Eligibility Details |
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Nationality |
Indian and foreign nationals can apply |
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Age Limit |
No upper age limit |
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Educational Qualification |
Candidates studying in the third year or higher of an undergraduate degree programme or those who have completed a recognised degree are eligible |
Candidates from engineering backgrounds such as Mechanical Engineering, Electrical Engineering, Electronics Engineering, Computer Science, Mechatronics, and related fields can appear for the Robotics and Automation paper if they fulfil the eligibility requirements.
Understanding the GATE RA exam pattern helps you plan your preparation strategy and manage your time effectively during the examination.
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GATE Robotics and Automation Exam Pattern 2027 |
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Particular |
Details |
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Exam Mode |
Computer-Based Test (CBT) |
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Duration |
3 Hours |
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Total Marks |
100 Marks |
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Total Questions |
65 Questions |
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Question Types |
Multiple Choice Questions (MCQs), Multiple Select Questions (MSQs), Numerical Answer Type (NAT) |
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General Aptitude |
15 Marks |
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Subject Questions |
85 Marks |
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Negative Marking |
Applicable only for MCQs |
Marking Scheme
1-mark MCQ: One-third mark will be deducted for incorrect answers.
2-mark MCQ: Two-thirds mark will be deducted for incorrect answers.
MSQ and NAT questions: No negative marking.
The GATE Robotics and Automation (RA) syllabus is divided into three major sections: Part A (Common Section), Part B1 (Electrical Engineering), and Part B2 (Mechanical Engineering). The syllabus covers engineering mathematics, mechatronics, robotics, automation, control systems, embedded systems, mechanics, and manufacturing concepts.
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GATE Robotics and Automation Syllabus 2027 |
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Section |
Topics Covered |
Important Subtopics |
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Part A: Common Section |
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A.1 Engineering Mathematics |
Linear Algebra |
Matrices, transpose, determinant, rank, eigenvalues and eigenvectors, trace, adjoint, solutions of linear equations |
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Calculus |
Functions of one variable, limits, continuity, differentiability, mean value theorem, definite and improper integrals, double and triple integrals, partial derivatives, total derivative, Taylor series, maxima and minima, gradient, divergence, curl, vector identities |
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Differential Equations |
First-order linear and nonlinear equations, higher-order differential equations, Euler-Cauchy equations, initial and boundary value problems, Laplace transforms, heat equation, wave equation, Laplace equation, Fourier series |
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Probability and Statistics |
Probability axioms, conditional probability, mean, median, mode, standard deviation, random variables, expectation, binomial distribution, Poisson distribution, normal distribution, hypothesis testing, PDF, CDF |
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Numerical Methods |
Linear and nonlinear algebraic equations, trapezoidal and Simpson’s rules, finite differences, numerical methods for differential equations |
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A.2 Basics of Mechatronics |
Network Elements |
Voltage and current sources, RLC circuits, mutual inductance, KCL, KVL, node and mesh analysis, Thevenin’s theorem, Norton’s theorem, superposition theorem, maximum power transfer theorem, AC and DC network analysis, resonance, two-port networks, three-phase circuits, power factor |
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Digital Circuits |
Boolean algebra, combinational circuits (multiplexers, encoders, decoders), sequential circuits, flip-flops, counters |
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Sensors |
Resistive, capacitive, inductive, piezoelectric, Hall effect sensors, signal conditioning circuits, industrial transducers for displacement, velocity, acceleration, force, torque, and pressure |
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Actuators |
Hydraulic and pneumatic actuators, DC motors, stepper motors, servo motors, torque-speed characteristics |
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Engineering Mechanics |
Free body diagrams, equilibrium, friction, rolling friction, belt-pulley systems, trusses, frames, kinematics and dynamics of rigid bodies |
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Programming |
Flowcharts, pseudocode, Python basics, data types, operators, conditional statements, loops, functions, arrays, dictionaries, strings, recursion |
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Data Structures |
Stack, queue, linked list, binary search tree, binary heap, graphs |
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A.3 Principles of Robotics and Automation |
Robotics Fundamentals |
Robot classification, serial and parallel manipulators, robot configurations, links and joints, coordinate systems, degrees of freedom |
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Robot Kinematics |
Rotation matrices (2D and 3D), homogeneous transformations, forward kinematics |
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Robot Applications |
Point-to-point control, continuous path control, end-effectors, robot accuracy, repeatability |
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Computer Integrated Manufacturing |
Manufacturing automation, PLCs, automated material handling systems, automated storage and retrieval systems, automated identification systems, CNC, single and multi-axis positioning systems, concurrent design and manufacturing planning |
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Part B1: Electrical Engineering |
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B1.1 Analog Circuits and Embedded Systems |
Analog Electronics |
Analog filters (low-pass, high-pass, band-pass, band-reject), amplifiers, biasing, frequency response, feedback amplifiers, operational amplifiers, oscillators, VCOs, timers, Schmitt triggers, sample and hold circuits, A/D and D/A converters, SMPS |
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Embedded Systems |
Microprocessors, microcontrollers, CPU, memory, I/O ports, timers, interrupt handling, memory interfacing, data acquisition systems |
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B1.2 Signals and Systems |
Signal Processing |
Continuous and discrete-time signals, shifting and scaling, LTI systems, causal systems, Fourier series, Shannon sampling theorem, Fourier Transform, Laplace Transform, Z Transform, RMS value, average value |
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B1.3 Control Systems |
Control Engineering |
Mathematical modelling, system representation, feedback systems, transfer functions, block diagrams, signal flow graphs, transient and steady-state analysis, stability analysis, Routh-Hurwitz criteria, Nyquist criteria, Bode plots, root locus, compensators, P, PI, PID controllers |
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Part B2: Mechanical Engineering |
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B2.1 Mechanics of Materials |
Strength of Materials |
Stress and strain, elastic constants, Poisson’s ratio, Mohr’s circle, plane stress and strain, thin cylinders, shear force and bending moment diagrams, bending stresses, shear stresses, shear centre, beam deflection, torsion, Euler’s column theory, Castigliano’s theorem, thermal stresses, strain gauges, material testing |
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B2.2 Kinematics and Dynamics |
Mechanical Systems |
Displacement, velocity and acceleration analysis, plane mechanisms, dynamic analysis of linkages, gears and gear trains, balancing of rotating and reciprocating masses, gyroscope, vibrations, damping, vibration isolation, resonance, critical speeds of shafts |
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B2.3 Machine Design and Computer Integrated Manufacturing |
Design and Manufacturing |
Static and dynamic loading, failure theories, fatigue strength, S-N diagram, machine elements, bolted joints, riveted joints, welded joints, shafts, bearings, brakes, clutches, springs, CAD/CAM basics, CAD-CAM integration, additive manufacturing |
A good score in GATE Robotics and Automation (RA) can provide opportunities in higher education, research, and emerging technology sectors. With increasing adoption of robotics, artificial intelligence, and automation across industries, professionals with expertise in these areas have strong career prospects.
M.Tech and Higher Education Opportunities
Candidates qualifying for GATE RA can apply for postgraduate programmes such as:
M.Tech in Robotics
M.Tech in Automation Engineering
M.Tech in Mechatronics
M.Tech in Artificial Intelligence and Robotics
Research programmes in robotics and automation
Top institutes accepting GATE scores include:
Indian Institute of Science (IISc), Bengaluru
Indian Institute of Technology Madras
Indian Institute of Technology Bombay
Indian Institute of Technology Delhi
Indian Institute of Technology Kanpur
Indian Institute of Technology Kharagpur
Indian Institute of Technology Roorkee
Indian Institute of Technology Hyderabad
After completing higher education or gaining expertise in robotics and automation, candidates can explore career opportunities as:
Robotics Engineer
Automation Engineer
Control Systems Engineer
Embedded Systems Engineer
Mechatronics Engineer
Industrial Automation Specialist
Research Scientist
Robotics Software Engineer
Industries hiring robotics professionals include:
Manufacturing
Automotive
Aerospace
Defence
Healthcare
Artificial Intelligence
Research and Development
Professionals working in robotics and automation can earn competitive salaries depending on their qualification, skills, organisation, and experience.
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GATE Robotics and Automation Salary |
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Job Role |
Expected Salary Range |
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Robotics Engineer |
₹5–15 LPA |
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Automation Engineer |
₹4–12 LPA |
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Control Systems Engineer |
₹6–15 LPA |
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Embedded Systems Engineer |
₹5–14 LPA |
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Research Scientist |
₹8–20 LPA |
Candidates working in leading technology companies, research organisations, and multinational firms may receive higher packages based on expertise and experience.
A focused preparation strategy can help you perform better in the GATE RA examination.
Start your preparation by analysing the complete syllabus. Identify important topics from robotics, automation, engineering mathematics, control systems, and mechanical concepts.
Focus on understanding basic concepts instead of memorising formulas. Strong fundamentals help you solve application-based questions effectively.
Regularly solve numerical questions from engineering mathematics, control systems, circuits, and mechanics to improve accuracy.
Practising PYQs helps you understand the question pattern and identify important areas that require more attention.
Take regular mock tests to improve speed, manage exam pressure, and develop effective time-management skills.
Prepare short notes containing important formulas, concepts, and diagrams for quick revision before the examination.
GATE Robotics and Automation (RA) 2027 exam offers a valuable opportunity for students who want to build a career in robotics, automation, mechatronics, and advanced engineering technologies. A thorough understanding of the syllabus, including engineering mathematics, robotics principles, control systems, embedded systems, electrical concepts, and mechanical fundamentals, is essential for effective preparation.
By following a study plan, practising previous year question papers, strengthening core concepts, and regularly attempting mock tests, candidates can improve their chances of achieving a good GATE score. A strong performance in GATE RA can open pathways to M.Tech admissions at premier institutes, research opportunities, and promising career roles in the rapidly growing robotics and automation industry.