About This Program
PROGRAM OVERVIEW
Robotics Engineering bridges mechanical engineering, electrical engineering, and computer science to create autonomous or semi-autonomous machines. Types encompass Industrial Robotics, Autonomous Vehicles, Drones, and Medical Robotics.
As automation takes over manufacturing and logistics, robotics offers a highly specialised and secure career. The program deeply covers Robot Operating System (ROS), kinematics, sensor and actuator calibration, and computer vision for navigation — giving you real engineering depth.
Skills & Outcomes
WHAT YOU'LL LEARN
Robot Operating System (ROS)
Master the industry-standard framework for building and programming robots used by leading companies worldwide.
Kinematics & Dynamics
Build 10+ real robotic motion models covering forward/inverse kinematics and dynamic analysis for manipulators.
Sensors & Actuators
Develop hands-on expertise calibrating LiDAR, IMUs, cameras, servo motors, and pneumatic systems for real robots.
Autonomous Navigation
Implement SLAM, path planning, and obstacle avoidance algorithms to make machines navigate real-world environments.
Computer Vision for Robotics
Use OpenCV and deep learning to give robots the ability to perceive, classify, and interact with the physical world.
Control Systems & Simulation
Design PID and advanced controllers and validate them in Gazebo and MATLAB/Simulink before deploying to hardware.
Course Structure
CURRICULUM
01.
Fundamentals & Foundations
Introduction to Robotics & Automation
Mathematics for Robotics (Linear Algebra, Vectors)
Robot Hardware: Joints, Links & End-Effectors
Python & C++ for Robotics Programming
Introduction to ROS Architecture & Tools
02.
Core Concepts & Architecture
Forward & Inverse Kinematics
Sensors: LiDAR, IMU, RGB-D Cameras
Actuators & Motor Control
PID & Feedback Control Systems
Gazebo Simulation & URDF Robot Modelling
03.
Advanced Topics & Scaling
SLAM: Simultaneous Localisation & Mapping
Autonomous Navigation & Path Planning (A*, RRT)
Computer Vision & Object Detection (OpenCV, YOLO)
Machine Learning for Robotic Perception
Multi-Robot Systems & ROS2 Migration
04.
Capstone Project & Placement Prep
End-to-End Autonomous Robot Build Case Study
Portfolio & GitHub Project Showcase
Mock Technical Interview Sessions
Resume & LinkedIn Profile Optimisation
Placement Drive & Industry Referrals
ENROLLMENT OPEN
Limited seats left for the upcoming batch.
Starts On
June 15, 2026
Format
Live Online
Duration
12 Weeks
Batch Size
30 Students Max
Language
English
Level
Beginner to Pro
Applications close in 5 days. No upfront payment required.
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