IIT Delhi Executive Programme in Robotics

About Course

In the current era of technological transformation, Robotics has emerged as a pivotal force shaping global industries. Rapid advancements in technologies such as rapid prototyping, cloud computing, the Internet of Things, and Artificial Intelligence have propelled the widespread integration of robots across various sectors, including healthcare, automotive, and space exploration. This surge in robotic applications demands an immediate focus on upskilling and reskilling individuals involved in the conception, design, development, manufacturing, and operation of robots.

IIT Delhi’s Executive Programme in Robotics is designed to meet this demand by providing comprehensive training – from fundamental principles to the execution of advanced applications. It offers a unique opportunity for individuals seeking expertise in navigating and contributing to the evolving landscape of robotics for enhanced human well-being and productivity.

Construct robotic devices mechanically and electronically from scratch.
Develop and implement robotic programmes using programming languages commonly used in the robotics industry.
Effectively operate a variety of sensors and actuators, understanding their significance in robotics.
Utilise the Robotics Operating System (ROS) to design, control, and coordinate robotic systems and networks.
Understand the principles of robotic vision and how to apply visual sensors in robotics applications.

Course Content

Module 1: Fundamentals of Robotics and Automation
1. Learn about the state-of-the-art of robotics and the opportunities 2. Understand the principles of design and functioning of robots

Introduction to robotics in industry and society, historical perspectives
Classification of robots and overview of current research in robotics, applications of AI/ML
Robotics market, current challenges, and opportunities
System-level architecture of robots – levels of autonomy
Fundamental concepts of robots – components, joints, coordinate systems, workspace
Kinematics and kinetics of robots
Dynamics of a robot – trajectory and path

Module 2: Sensing and Perception
1. Learn about the fundamentals of robotic sensing in-depth 2. Understand implementation strategies for robotic sensing

Module 3: Actuators and Motion
1. Learn how to make a robot move and perform key tasks 2. Understand mechanical and electrical aspects of robotics

Module 4: Modelling, AI, and Machine Learning
1. Learn how to design and strategize movement of a robot 2. Learn applications of AI and Machine Learning in robotics.

Localisation, navigation and environment representation
Designing of robotic components using CAD
Introduction to Robot Operating System (ROS)
3D robot modelling, motion planning, and simulation in ROS
Interfacing hardware and sensors to ROS
Introduction to the role of machine learning in robotics – software architecture, behaviour-based systems
Neural networks and genetic algorithms in robotics
Introduction to Deep Learning and applications in robotics

Module 5: Embedded Control and Mechatronics
1. Learn software development for robotic control 2. Learn about key sensing and interfacing techniques for robotic functionalisation

Module 6: Applications and Future Directions
1. Learn about a range of robotic applications in research and industry 2. Understand about standards and ethics associated with robotics and AI

About Course

What Will You Learn?

Course Content

Module 1: Fundamentals of Robotics and Automation 1. Learn about the state-of-the-art of robotics and the opportunities 2. Understand the principles of design and functioning of robots

Introduction to robotics in industry and society, historical perspectives

Classification of robots and overview of current research in robotics, applications of AI/ML

Robotics market, current challenges, and opportunities

System-level architecture of robots – levels of autonomy

Fundamental concepts of robots – components, joints, coordinate systems, workspace

Kinematics and kinetics of robots

Dynamics of a robot – trajectory and path

Module 2: Sensing and Perception 1. Learn about the fundamentals of robotic sensing in-depth 2. Understand implementation strategies for robotic sensing

Role of interoceptive and exteroceptive sensing

Position, velocity, and acceleration sensors

Force and torque sensing

Robotic tactile sensors and soft haptics

Non-contact sensing using ultrasonic, LIDAR, and RADAR

Camera-based robotic sensing and machine vision

Computational models and methods for processing sensor information

Module 3: Actuators and Motion 1. Learn how to make a robot move and perform key tasks 2. Understand mechanical and electrical aspects of robotics

Role and characteristics of robotic actuators

Electrical motors – servos, stepper motors, and drive mechanisms

Pneumatic and hydraulic actuators

Soft robotic actuators

Electroactive polymers, shape memory actuators, and emerging paradigms

Biomimetic actuators, artificial muscle technology and wearable actuators

Role of 3D printing and mechanical testing in robotic fabrication

Module 4: Modelling, AI, and Machine Learning 1. Learn how to design and strategize movement of a robot 2. Learn applications of AI and Machine Learning in robotics.

Localisation, navigation and environment representation

Designing of robotic components using CAD

Introduction to Robot Operating System (ROS)

3D robot modelling, motion planning, and simulation in ROS

Interfacing hardware and sensors to ROS

Introduction to the role of machine learning in robotics – software architecture, behaviour-based systems

Neural networks and genetic algorithms in robotics

Introduction to Deep Learning and applications in robotics

Module 5: Embedded Control and Mechatronics 1. Learn software development for robotic control 2. Learn about key sensing and interfacing techniques for robotic functionalisation

Introduction to embedded computing and control

Introduction to embedded hardware platforms – Arduino and Raspberry Pi

Programming and interfacing of sensors and actuators

Wired and wireless communication systems – MODBUS, CAN, and other paradigms

Multi-tasking and closed-loop control of robots

Module 6: Applications and Future Directions 1. Learn about a range of robotic applications in research and industry 2. Understand about standards and ethics associated with robotics and AI

Introduction to biorobotics and bionics – exoskeleton device, prosthetics and surgical robotics

Humanoid robots – future directions in automation

Human-Robot Interaction (HRI) and Collaboration – collaborative robotics

Manufacturing automation using industrial robots – the next industrial revolution

Safety standards in industrial robotics

Roboethics: navigating the ethical use and pitfalls of robotics and AI

Tutorials

Designing on CAD

3D Printing

Arduino Programming

AI/ML in Robotics

DIY Robotics

Tools

CAD Designing Software

3D Printers

Arduino

DIY Robotics Kits