Introduction to AI in Robotics: Intelligent Machines in Motion

web-development.

Course Modules:

Module 1: What is AI in Robotics?

Overview of robotics vs. AI

Key components of an intelligent robotic system

Applications in manufacturing, healthcare, logistics, and defense

Module 2: Perception and Sensors

How robots “see” the world

Cameras, LIDAR, ultrasonic, and infrared sensors

Introduction to computer vision and sensor fusion

Module 3: Reasoning and Decision-Making

Reactive vs. deliberative control

Rule-based logic, machine learning, and probabilistic models

Path planning and obstacle avoidance

Module 4: Motion Planning and Control

Kinematics and dynamics basics

Trajectory generation and execution

Using AI to control robotic arms, wheeled robots, and drones

Module 5: Learning in Robotics

Supervised learning, reinforcement learning in robotics

Imitation learning and self-play

Adaptive robots and online learning systems

Module 6: Capstone Project – Simulate an AI Robot

Choose a robotics simulation (e.g., line follower, warehouse robot)

Build a simple control algorithm using perception and planning

Submit code, simulation screenshots, and a reflection report

Tools & Technologies Used:

Python

ROS (Robot Operating System) – optional

OpenAI Gym, PyBullet, or Webots for simulation

Computer vision: OpenCV

Target Audience:

Beginners in robotics or AI

Students interested in autonomous systems

Engineers exploring intelligent machines

Researchers and hobbyists in robot design

Global Learning Benefits:

Understand how AI powers robotic autonomy

Bridge software and physical systems in real-world tasks

Build foundational knowledge for advanced robotics or drone applications

Start prototyping intelligent robotic behavior in simulation

?Master Study NLP Fundamentals: The Foundation of Language Understanding in AI

?Shop our library of over one million titles and learn anytime

?‍? Learn with our expert tutors