Engineering & Electronics

Design, program & control intelligent robots and autonomous systems. — Robotics & Autonomous Systems Course in Coimbatore at AIRA Global Tech

Learn robotics engineering from perception to control — Python & C++ embedded programming, sensor integration, motor actuators, Robot Operating System (ROS 2), computer vision, and autonomous navigation.

Industry Software & Practical Skills CoveredHands-on Labs
ROS 2PythonC++OpenCVArduino/Raspberry PiGazebo
Duration3 Months
FormatLive Labs & Projects
LanguagesEnglish, Tamil, Hindi
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Get Course Syllabus & Fee Details

THE METHODOLOGY

How You'll Progress Through This Program

01FOUNDATION

Robotics Foundations

Robotics architecture, sensors, actuators and control fundamentals.

02CONTROL

Electronics & Control

Motors, controllers and robotics control systems.

03CODE

Robot Programming

Develop robotics logic using appropriate programming frameworks.

04PERCEPTION

Perception & Autonomy

Sensors, computer vision and autonomous decision-making.

05PROVE

Robotics Projects

Build and demonstrate practical autonomous robotics systems.

IN-DEPTH ROADMAP

A curriculum built around real engineering

MODULE 01

Robotics Fundamentals & Embedded Programming

4 Weeks

Embedded C++ & Python, microcontrollers (Arduino/ESP32/Raspberry Pi), GPIO, digital/analog I/O, and PWM.

What You Will Learn

  • Robotics architecture: sensors, actuators, controllers, and communication buses (UART, I2C, SPI)
  • Embedded C++ programming: memory management, pointers, registers, and interrupts
  • Microcontroller interfacing: GPIO pins, analog-to-digital converters (ADC), and PWM signals
  • Actuator control: DC motors, servo motors, stepper motors, and H-bridge motor drivers
  • Sensor reading: ultrasonic, IMU (accelerometer/gyroscope), infrared, and encoders
Hands-on Lab Deliverable

Build a PID-controlled motor speed and position regulation system with encoder feedback and ESP32.

THE TOOLCHAIN

How the engineering stack connects

You won't learn isolated tools. You'll understand how databases, APIs, client interfaces, and cloud deployments operate as a unified system.

Robotics Middleware

ROS 2 (Humble / Iron)

Industry-standard open-source robotics middleware for distributed robot control

Programming

Python & C++

Primary languages for high-level algorithm logic and low-level embedded control

Computer Vision

OpenCV

Real-time computer vision library for visual perception and camera tracking

Simulation

Gazebo

3D physics simulator for testing robot models and sensor configurations

Microcontrollers

Arduino & ESP32

Embedded hardware platforms for low-level sensor reading and actuator control

Single Board Computer

Raspberry Pi

Embedded Linux compute for executing ROS 2 nodes and computer vision

Sensors

LiDAR & Depth Cameras

3D spatial perception sensors for SLAM mapping and autonomous obstacle avoidance

Visualization

URDF & RViz

Robot modeling format and 3D sensor data visualization tool

ROBOTICS STANDARDS

Sense. Control. Act.

Integrate embedded controllers, sensory feedback loops, and intelligent autonomous navigation systems.

01 / HARDWARE INTEGRATION

Sensors & Actuators

Interfacing LiDAR, IMU, ultrasonic sensors, encoders, and motor drivers with industrial accuracy.

02 / CONTROL SYSTEMS

Reliable Motion & Logic

PID control loops, inverse kinematics, trajectory planning, and real-time actuator feedback mechanisms.

03 / AUTONOMOUS BEHAVIOR

Perception & Decision-Making

Computer vision processing, obstacle avoidance algorithms, and autonomous navigation protocols.

REAL DELIVERABLES

Capstone projects you will ship

Concrete projects solving authentic industry requirements.

PROJECT 01Autonomous Systems

Autonomous Mobile Robot (AMR) with LiDAR SLAM

Differential-drive autonomous robot mapping indoor environments with LiDAR and navigating around dynamic obstacles.

ROS 2PythonC++LiDARNav2Gazebo
Architecture Deliverable

Costmap layer integration with dynamic obstacle footprint recalculation.

PROJECT 02Industrial Robotics

Vision-Guided 4-DOF Robotic Arm Sorting System

Articulated robotic arm integrating computer vision to detect, classify, and sort industrial components into bins.

OpenCVPythonInverse KinematicsArduinoServo Actuators
Architecture Deliverable

Closed-loop visual servoing aligning gripper end-effector coordinates with detected centroid.

PROJECT 03Control Systems

Self-Balancing Inverted Pendulum Robot

Two-wheeled dynamic robot maintaining vertical equilibrium using IMU sensor fusion and real-time PID control.

C++ESP32MPU-6050 IMUKalman FilterPID Control
Architecture Deliverable

Complementary Kalman sensor fusion filtering out high-frequency accelerometer noise.

CAREER DIRECTIONS

Target industry roles

Robotics Software Engineer

Develops ROS 2 control nodes, perception pipelines, and autonomous navigation algorithms.

Embedded Systems & IoT Engineer

Programs microcontrollers, sensor interfaces, and communication protocols for hardware.

Automation & Control Engineer

Designs industrial robotic manipulators, PLC integration, and automated assembly cells.

PROGRAM ADMISSION

All-Inclusive Program Fee

Complete industry curriculum, live 1:1 mentorship, capstone project evaluations, and placement support.

All-Inclusive Access
COMPLETE PROGRAM

Robotics & Autonomous Systems

3 Months structured curriculum with all project labs & mentorship.

₹40,000all modules & mentorship included
All modules & lab exercises
Weekly 1:1 mentorship & reviews
Capstone project evaluations
Resume & technical mock drills
Direct referrals to hiring partners
Certificate of Completion
QUESTIONS & ANSWERS

Frequently Asked Questions

No. The course covers all required circuit basics, sensor wiring, motor driver interfacing, and kinematic physics concepts step-by-step alongside programming.