Introduction to Application of Artificial Intelligence to Robotics

Overview

ABOUT THE COURSE:

Robots are gradually entering into our daily life. Days are not far when they will be part of our family.

A robot is an integration of mechanical, electrical and software components that can be reprogrammed to perform a variety of tasks both with and without human intervention. Robotics is the study of robot’s design, programming and control.

Essentially a robot contains manipulators, sensors, control systems, power supplies and software all working together to perform a task. Manipulator provides movement.

A robot needs to be able to move around its environment. Whether by joint movement, or rolling on wheels, or walking on legs or propelling by thrusters a robot needs to be able to move.

Sensing is required to sense its surroundings and find its own location. Control system provides intelligence.

Artificial Intelligence can be provided through object recognition, path planning, interacting robot through NLP, navigating the robot and giving emotion to robot. This course will cater the needs of students who are interested in studying the complete kinematics, dynamics, control and implementing AI to the robots and then will like to make one.

With this foundation course students will be ready to study advance robotics courses and AI controlled robots.INTENDED AUDIENCE:

Mechanical/Electrical/Electronics/Computer Science under graduate and post graduate studentsINDUSTRY SUPPORT:

Automobile, DRDO, Railways, Robotics, Mechatronics Adverb Robotics, ABB, Kuka, Hi Tech Robotics etc.

Syllabus

• Introduction to Robotics
Definition and History of Robotics
Components of a Robot: Mechanical, Electrical, and Software
Types of Robots: Industrial, Mobile, and Humanoid
• Basics of Robot Movement
Kinematics: Joint Movement and Mobility
Dynamic Movement: Walking, Rolling, and Propulsion
• Sensing and Perception
Types of Sensors: Vision, Proximity, and Motion
Sensor Fusion: Integrating Data for Environment Mapping
Localization: Understanding Position and Orientation
• Control Systems
Open-loop vs Closed-loop Control
PID Controllers: Basics and Applications
Introduction to Feedback Systems
• Robotics and Artificial Intelligence
Basics of AI: Machine Learning and Neural Networks
Path Planning and Navigation
Object Recognition and Computer Vision
Natural Language Processing for Human-Robot Interaction
• Robotics Programming
Introduction to ROS (Robot Operating System)
Robot Programming Languages: Python, C++
Simulation Software: Gazebo, V-REP
• AI Applications in Robotics
AI for Autonomous Navigation
AI in Manipulation and Grasping
Emotional Intelligence and Human-Robot Interaction
• Case Studies and Industry Applications
Robotics in Automotive Industry
Defense and Security Robots
Robotics in Healthcare and Service Sectors
• Hands-on Project
Designing and Building a Simple Robot
Integrating Sensors and Actuators
Implementing AI Algorithms for Basic Tasks
• Future of Robotics and AI
Emerging Trends in Robotics
Ethical Considerations in AI Robotics
Preparing for Advanced Robotics and AI Courses
• Review and Assessment
Weekly Quizzes and Assignments
Midterm Project Evaluation
Final Project Presentation and Report

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Taught by

Prof. Pushparaj Mani Pathak

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Subjects

Artificial Intelligence