ROBOTICS FRAMEWORK WITH PYTHON

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Robotics Framework with Python Training provides hands-on skills in building automation frameworks using Robot Framework powered by Python. The syllabus covers keyword-driven testing, libraries, Selenium automation, API testing, and real-world test automation workflows. This training is important because it helps QA teams create scalable, readable & maintainable automation solutions with minimal coding effort. Ideal for QA Engineers, Test Automation Engineers, SDETs & beginners who want to master Python-based automation with industry-relevant tools.

Duration of Training : 40–60 Hours
Batch type : Weekdays/Weekends
Mode of Training : Classroom/Online/Corporate Training
Includes: 40+ Assignments • 6 Mini Projects • 2 Major Projects
Structure: Fast-Track | Hands-On | Beginner to Intermediate

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Overview

The Syllabus

Curriculum Designed by Experts

MODULE 1 — Python for Robotics (6 Hours)

Topics
Python basics (loops, functions)
OOP for robotics: Robot Class, Sensor Class
NumPy for robotics math
File formats: JSON/YAML
Python threading for multi-sensor handling
Assignments
✔ Motor speed simulator in Python
✔ Python class for 2-wheel robot
✔ Threading-based sensor reader
Mini Project
🔧 Robot Motion Controller (Python OOP)

MODULE 2 — Robotics Fundamentals (4 Hours)

Topics
Types of robots
Coordinates & frames
DOF, Joints
Forward & Inverse Kinematics (simple 2-link)
Basic trajectory & motion planning
Assignments
✔ FK calculation for a 2-link arm
✔ IK solver for 2-link arm
✔ Joint angle simulator
Mini Project
🔧 2-DOF Robot Arm Kinematics Solver

MODULE 3 — Sensors for Robotics (6 Hours)

Topics
Ultrasonic, IR, LIDAR basics
IMU (gyro, accelerometer)
Encoders
Sensor fusion basics
Filtering: moving average, Kalman filter (intro)
Assignments
✔ Distance calculation from ultrasonic sensor
✔ IMU orientation calculation
✔ Noise filtering in sensor data
Mini Project
🔧 Sensor Fusion (IMU + Encoder) Simulator

MODULE 4 — Actuators & Motor Control (4 Hours)

Topics
DC, Servo, Stepper motors
Motor drivers
PWM generation
Diaerential drive robot
Velocity to wheel RPM conversion
Assignments
✔ PWM simulation in Python
✔ Control left & right wheel speeds
✔ Simulate rotation vs forward motion
Mini Project
🔧 DiZerential Drive Robot Simulator

MODULE 5 — Control Algorithms (4 Hours)

Topics
PID controller
PD, PI logic
Control loops for line following
Wall-following logic
Obstacle avoidance algorithm
Assignments
✔ Implement PID for motor speed
✔ Simulate line tracking
✔ Basic obstacle avoidance logic
Mini Project
🔧 PID-Based Motion Control Framework

MODULE 6 — Computer Vision + Python (OpenCV) (6 Hours)

Topics
Image acquisition
Thresholding & contour detection
Color tracking
Shape detection
Lane/line detection
QR/Marker detection
Assignments
✔ Detect red object
✔ Track an object using webcam
✔ Detect lines for navigation
Mini Project
🔧 Vision-Based Line Follower Robot

MODULE 7 — Python Robotics Simulation (4–6 Hours)

Topics
2D robot simulation using Pygame
Kinematics simulation
Sensor simulation
Moving robot in virtual world
Assignments
✔ Simulate robot movement in grid
✔ Add obstacles & avoid them
✔ Visualize sensors in simulation
Mini Project
🔧 2D Python-Based Robot Simulator

MODULE 8 — ROS Integration (Optional but Recommended) (6–8 Hours)

Topics
ROS basics (nodes, topics, services)
Python publisher/subscriber
Sending robot velocity commands
ROS + Python + Gazebo basics
Sensor message processing
Assignments
✔ Control robot using ROS /cmd_vel
✔ Subscribe to LIDAR topic
✔ Publish camera frames to OpenCV
Mini Project
🔧 Python-Controlled Robot (ROS + Simulation)

MODULE 9 — Embedded Python for Robotics (Raspberry Pi) (2–4 Hours)

Topics
GPIO control
Python + camera module
Basic robot testing
Assignments
✔ LED control
✔ Servo control script
✔ Camera capture test

MAJOR PROJECTS (Choose Any 2)

PROJECT 1 — Autonomous Line Follower Robot
Includes:
✔ Computer vision
✔ PID control
✔ Trajectory execution

PROJECT 2 — Obstacle Avoidance Robot
Includes:
✔ Ultrasonic/LIDAR simulation
✔ Sensor fusion
✔ Python-based planner

TOTAL DURATION (40–60 Hours)

Module	Hours
Python for Robotics	6
Robotics Fundamentals	4
Sensors	6
Actuators	4
Control Algorithms	4
Computer Vision	6
Simulation	4–6
ROS Integration	6–8
Embedded Python	2–4
Total	40–60 Hours

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Robotics Framework With Python Course Certification With Training In Kochi

Q: MODULE 1 — Python for Robotics (6 Hours)

Topics Python basics (loops, functions) OOP for robotics: Robot Class, Sensor Class NumPy for robotics math File formats: JSON/YAML Python threading for multi-sensor handling Assignments ✔ Motor speed simulator in Python ✔ Python class for 2-wheel robot ✔ Threading-based sensor reader Mini Project 🔧 Robot Motion Controller (Python OOP)

Q: MODULE 2 — Robotics Fundamentals (4 Hours)

Topics Types of robots Coordinates & frames DOF, Joints Forward & Inverse Kinematics (simple 2-link) Basic trajectory & motion planning Assignments ✔ FK calculation for a 2-link arm ✔ IK solver for 2-link arm ✔ Joint angle simulator Mini Project 🔧 2-DOF Robot Arm Kinematics Solver

Q: MODULE 3 — Sensors for Robotics (6 Hours)

Topics Ultrasonic, IR, LIDAR basics IMU (gyro, accelerometer) Encoders Sensor fusion basics Filtering: moving average, Kalman filter (intro) Assignments ✔ Distance calculation from ultrasonic sensor ✔ IMU orientation calculation ✔ Noise filtering in sensor data Mini Project 🔧 Sensor Fusion (IMU + Encoder) Simulator

Q: MODULE 4 — Actuators & Motor Control (4 Hours)

Topics DC, Servo, Stepper motors Motor drivers PWM generation Diaerential drive robot Velocity to wheel RPM conversion Assignments ✔ PWM simulation in Python ✔ Control left & right wheel speeds ✔ Simulate rotation vs forward motion Mini Project 🔧 DiZerential Drive Robot Simulator

Q: MODULE 5 — Control Algorithms (4 Hours)

Topics PID controller PD, PI logic Control loops for line following Wall-following logic Obstacle avoidance algorithm Assignments ✔ Implement PID for motor speed ✔ Simulate line tracking ✔ Basic obstacle avoidance logic Mini Project 🔧 PID-Based Motion Control Framework

Q: MODULE 6 — Computer Vision + Python (OpenCV) (6 Hours)

Topics Image acquisition Thresholding & contour detection Color tracking Shape detection Lane/line detection QR/Marker detection Assignments ✔ Detect red object ✔ Track an object using webcam ✔ Detect lines for navigation Mini Project 🔧 Vision-Based Line Follower Robot

Q: MODULE 7 — Python Robotics Simulation (4–6 Hours)

Topics 2D robot simulation using Pygame Kinematics simulation Sensor simulation Moving robot in virtual world Assignments ✔ Simulate robot movement in grid ✔ Add obstacles & avoid them ✔ Visualize sensors in simulation Mini Project 🔧 2D Python-Based Robot Simulator

Q: MODULE 8 — ROS Integration (Optional but Recommended) (6–8 Hours)

Topics ROS basics (nodes, topics, services) Python publisher/subscriber Sending robot velocity commands ROS + Python + Gazebo basics Sensor message processing Assignments ✔ Control robot using ROS /cmd_vel ✔ Subscribe to LIDAR topic ✔ Publish camera frames to OpenCV Mini Project 🔧 Python-Controlled Robot (ROS + Simulation)

Q: MODULE 9 — Embedded Python for Robotics (Raspberry Pi) (2–4 Hours)

Topics GPIO control Python + camera module Basic robot testing Assignments ✔ LED control ✔ Servo control script ✔ Camera capture test

Q: MAJOR PROJECTS (Choose Any 2)

PROJECT 1 — Autonomous Line Follower Robot Includes: ✔ Computer vision ✔ PID control ✔ Trajectory execution PROJECT 2 — Obstacle Avoidance Robot Includes: ✔ Ultrasonic/LIDAR simulation ✔ Sensor fusion ✔ Python-based planner

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