GATE Robotics & Automation
IIT Madras (organising institute for GATE 2027) · Online (CBT) · Annual (February)
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GATE RA Syllabus
Complete chapter-wise syllabus covering all subjects. Updated as per official exam pattern.
Basic English Grammar, Tenses, Articles and Adjectives, Prepositions, Conjunctions, Verb-Subject Agreement, Vocabulary: Idioms and Words in Context, Reading Comprehension, Sequencing of Ideas, Critical Reasoning and Verbal Deduction
Quantitative AptitudeData Interpretation: Tables, Graphs and Charts, Numerical Computation and Estimation, Ratios, Percentages, Powers and Exponents, Logarithms, Permutations and Combinations, Mensuration, Geometry and Elementary Statistics, Probability
Analytical AptitudeLogic: Deduction and Induction, Analogy, Numerical Relations and Reasoning
Spatial AptitudeTransformation of Shapes: Translation, Rotation, Scaling, Mirroring, Assembling and Grouping, Paper Folding, Cutting and Inking, Patterns in 2 and 3 Dimensions
Statics: Forces, Equilibrium, Friction, Kinematics of Particles and Rigid Bodies, Dynamics: Newton-Euler Formulation, Vibrations Basics
Robot Kinematics and DynamicsTransformations and Coordinate Frames, Forward and Inverse Kinematics, Velocity Analysis and Jacobians, Lagrangian Dynamics of Manipulators, Path and Trajectory Planning
Sensors and ActuatorsPosition, Velocity, Force and Torque Sensors, Proximity, Vision and IMU Sensing, DC/BLDC/Servo Motors and Drives, Pneumatic and Hydraulic Actuators, Microcontrollers and Embedded Interfacing
Control SystemsTransfer Functions and Block Diagrams, Stability Analysis: Routh, Root Locus, Frequency Response: Bode, Nyquist, PID Control and Tuning, State-Space Modelling and Feedback
Computing, AI and Machine LearningProgramming Fundamentals (C/Python), Data Structures and Algorithms Basics, Probability and Statistics for Robotics, Search and Planning (A*, BFS/DFS), Machine Learning Basics: Regression, Classification, Computer Vision Basics: Filtering, Feature Detection
Table of Contents
About GATE Robotics & Automation (GATE RA) 2027
The GATE Robotics & Automation (GATE RA) is one of the most competitive entrance exams, conducted by the IIT Madras (organising institute for GATE 2027). Preparing for the GATE RA requires systematic practice, conceptual clarity, and regular self-evaluation. Our platform offers dynamic mock tests, previous years' resolved papers, and AI-enabled analysis to help you secure a top rank.
Frequently Asked Questions
What is GATE RA?
GATE RA (Robotics and Automation) is the new paper introduced for GATE 2027. It is an interdisciplinary paper combining mechanical (kinematics, dynamics), electronics (sensors, actuators), control systems, computing/AI and industrial automation — aimed at the fast-growing robotics and Industry 4.0 sector.
Who is eligible for GATE RA 2027?
Engineering graduates from any discipline are eligible — the paper is deliberately interdisciplinary. Mechanical, ECE, EEE, CS and mechatronics backgrounds can all prepare from their strengths and fill gaps in the remaining sections.
What is the GATE RA exam structure?
GATE RA follows a part-structure like AR: General Aptitude (15 marks), a common Part A (about 60 marks) covering the shared robotics core, and a Part B choice section (about 25 marks) where you select between options in the exam hall. Download the official GATE 2027 syllabus PDF for the definitive section list, since this is a first-year paper.
Which combination pairs with GATE RA as a second paper?
GATE's two-paper rule lists RA in several allowed combinations — for example CS→RA, ME→RA and EC→RA per the official 2027 combination table. A second paper doubles the application fee.
Are previous year papers available for GATE RA?
No — RA debuts in 2027, so there are no past papers. Prepare from the official syllabus plus the overlap sections of GATE ME (mechanics, control), ECE (signals, sensors) and CS (programming, AI). Expect the first real paper analysis after the February 2027 exam.
How to Prepare for GATE RA
Start from the official RA syllabus PDF — as a new paper there are no coaching standard materials yet, so the syllabus is your syllabus
Revise rigid-body kinematics and dynamics (D-H parameters, Jacobians) — the mechanical core every robotics paper tests
Brush up control systems (transfer functions, PID, state space) from GATE EE/ECE material — the overlap is direct
Practise programming and basic AI/ML questions from GATE DA material for the computing sections
Complete the official mock interface on the GATE 2027 site — first-year paper surprises usually come from format, not content