Robotics

Autonomous Robotics Development Engineer

Become a professional Robotics Development Engineer
 

Robotics Features

Robotics offers automation that reduces human effort and increases productivity.
They provide high accuracy and efficiency, completing tasks with consistency.
Robots are flexible, capable of performing various functions across industries.
Above all, they ensure safety by taking on dangerous and risky jobs.

Course Pre-Requisites

Basic computer knowledge is required for this course.

Creativity & Novelty

Creativity in robotics focuses on designing robots with innovative ideas, smart functions, and problem-solving abilities.Novelty adds uniqueness and freshness by introducing new technologies and applications never seen before.Together, they drive advancements in industries, healthcare, space, and daily life.

Data Efficiency & Adaptability

Robotics uses data efficiency to process large amounts of information quickly, saving time and resources.It allows robots to learn from smaller datasets while still making accurate decisions.Adaptability helps robots adjust to changing environments, tasks, and unexpected situations.

Automation

Automation in robotics enables machines to perform repetitive tasks without constant human control.It improves speed, accuracy, and efficiency in industries like manufacturing, logistics, and healthcare.By reducing human error, robots can handle complex processes with consistency.

CURRICULLUM – MODULES

Introduction to Robotics

Module 1
  • History and Evolution of Robotics
  • Classification and Types of Robots
  • Key Applications of Robots Across Industries
  • Core Components of a Robotic System
  • Ethical and Societal Impacts of Robotics
  • Future Trends and Opportunities in Robotics

Robotics Hardware Basics

Module 2
  • Understanding Microcontrollers (Arduino, Raspberry Pi)
  • Motors and Actuators: DC, Servo, Stepper
  • Introduction to Sensors and Signal Acquisition
  • Power Supply and Battery Management for Robots
  • Basic Circuit Design and Wiring Practices
  • Tools for Building and Prototyping Robots

Robot Motion and Kinematics

Module 3
  • Degrees of Freedom and Coordinate Systems
  • Forward and Inverse Kinematics Basics
  • Robot Arm Configurations and Terminology
  • 2D and 3D Motion Modeling
  • Denavit-Hartenberg (DH) Parameters
  • Workspace Analysis and Reachability

Control Systems in Robotics

Module 4
  • Introduction to Feedback and Feedforward Control
  • PID Control Theory and Tuning
  • Closed-Loop vs Open-Loop Control
  • Motion Profiling and Trajectory Planning
  • Implementing Controllers in Code
  • Real-World Control Challenges in Robotics

 

Sensor Integration and Perception

Module 5
  • Analog and Digital Sensors Overview
  • Working with Ultrasonic, IR, and Line Sensors
  • Using Encoders for Position Feedback
  • Introduction to IMU and Compass Modules
  • Sensor Fusion Techniques
  • Calibration and Noise Filtering

Programming and Robot Logic

Module 6
  • Arduino and Python Basics for Robotics
  • Programming Motor and Sensor Interfaces
  • Conditional Logic and Loops for Robot Behavior
  • Modular Code Design for Reusability
  • Debugging and Serial Monitoring
  • Creating Finite State Machines for Decision Making

Navigation and Obstacle Avoidance

Module 7
  • Path Planning Strategies and Algorithms
  • Line Following using Sensors and Logic
  • Wall Following and Maze Solving Techniques
  • Obstacle Detection and Avoidance
  • Introduction to SLAM (Simultaneous Localization and Mapping)
  • Real-Time Navigation with Sensor Data

Wireless Communication and IoT Integration

Module 8
  • Using Bluetooth Modules (HC-05/HC-06)
  • Wi-Fi Communication with ESP8266/ESP32
  • Remote Control via Mobile or PC
  • Data Logging and Telemetry Transmission
  • Integrating IoT Dashboards (e.g., Blynk, ThingSpeak)
  • Basic Security Considerations for Connected Robots

Computer Vision and Machine Learning in Robotics

Module 9
  • Basics of Image Processing with OpenCV
  • Object and Color Detection Techniques
  • Face and Gesture Recognition Systems
  • Edge Devices for Vision (Raspberry Pi + Camera)
  • Intro to Machine Learning for Robotics
  • Training and Deploying Simple ML Models

Capstone: Building a Functional Autonomous Robot

Module 10
  • Defining the Robot’s Purpose and Requirements
  • Hardware Assembly and System Integration
  • Programming Autonomous Behaviors
  • Testing and Iterating in Real-World Environments
  • Final Demonstration and Presentation
  • Documentation and Future Enhancements

Course Includes

LIVE Interactive Sessions

Quizzes, Assignments & Projects

Study Materials & Recordings

Certificate

Skills You Will Learn

  • Master robot architecture, including mechanical design, electronics, sensors, and microcontrollers to build fully functional mobile robots from the ground up.:
  • Learn robotics programming using Arduino or Raspberry Pi to control motors, process sensor input, and implement real-time decision-making algorithms.:
  • Apply kinematics, PID control, and autonomous navigation techniques to enable precise and intelligent robot movement in real-world environments.:
  • Integrate ultrasonic, infrared, and encoder-based sensors to develop line-following, obstacle avoidance, and mapping functionalities in mobile robots.:
  • Design and fabricate stable, modular robot chassis systems optimized for power efficiency, component placement, and field performance.:
  • Develop wireless and IoT-enabled robots using Bluetooth and Wi-Fi modules for remote control, data logging, and cloud-based monitoring.:
  • Create complete autonomous robotic solutions through hands-on capstone projects guided by EdYoda's top 1% industry experts.: