Launch of a prestigious Executive Programme in Robotics by IIT Delhi

IIT Delhi has announced the launch of its prestigious Executive Programme in Robotics, designed to equip professionals with advanced skills in artificial intelligence (AI) and robotics. This program, spanning over 5 months with live online sessions totaling 120 hours, aims to revolutionize the landscape of robotics education.

 written by: Team, latest AI News India

Program Details:

Duration: 5 months

Mode: Live online sessions (120 hours)

Eligibility: Bachelor’s degree with a minimum of 55%

Admission Criteria: Selection based on application review

Program Benefits:

Cutting-edge Curriculum: The programme offers a comprehensive curriculum curated by industry experts and academic leaders from IIT Delhi, ensuring participants gain in-depth knowledge of robotics and AI technologies.

Flexible Learning: With live online sessions, participants can learn from anywhere, making it convenient for working professionals to upskill without disrupting their careers.

Industry-Relevant Projects: Participants will have the opportunity to work on real-world projects, gaining hands-on experience and enhancing their practical skills.

Networking Opportunities: Connect with peers, industry professionals, and experts in the field through interactive sessions and workshops, fostering a collaborative learning environment.

Interested candidates can download the program details from here. https://owncloud.iitd.ac.in/nextcloud/index.php/s/LFKXf2nzs4738tr

Admission Process:

Application review is the basis for selection.

Eligible candidates must have a Bachelor’s degree with a minimum of 55%.

Fee Structure:

The fee for the Executive Programme in Robotics is INR 1,50,000 plus GST.

Last Date: to check dates, click here

Apply Now: https://timespro.com/exed-programme/iit-delhi-executive-programme-in-robotics?utm_source=institute&utm_campaign=IITD_EPR_01_0624_Institute_P-01325

Details of the Course: Executive Programme in Robotics

Module 1: Fundamentals of Robotics and Automation

1. Introduction to robotics in industry and society, historical perspectives
2. Classification of robots and overview of current research in robotics, applications of AI/ML Robotics market, current challenges, and opportunities

3. System-level architecture of robots – Levels of autonomy
4. Fundamental concepts of robots – Components, joints, coordinate systems, workspace

6. Kinematics and kinetics of robots
7. Dynamics of a robot – Trajectory and path

 

Module 2: Sensing and Perception

1. Role of interoceptive and exteroceptive sensing
2. Position, velocity, and acceleration sensors
3. Force and torque sensing
4. Robotic tactile sensors and soft haptics
5. Non-contact sensing using ultrasonic, LIDAR, and RADAR
6. Camera-based robotic sensing and machine vision
7. Computational models and methods for processing sensor information

 

Module 3: Actuators and Motion

1. Role and characterisitics of robotic actuators
2. Electrical motors – Servos, stepper motors and drive mechanisms
3. Pneumatic and hydraulic actuators
4. Soft robotic actuators
5. Electroactive polymers, shape memory actuators, and emerging paradigms

6. Biomimetic actuators, artificial muscle technology and wearable actuators

7. Role of 3D printing and mechanical testing in robotic fabrication

 

Module 4: Modelling, AI, and Machine Learning

1. Localisation, navigation, and environment representation
2. Designing of robotic components using CAD
3. Introduction to Robot Operating System (ROS)
4. 3D robot modelling, motion planning, and simulation in ROS
5. Interfacing hardware and sensors to ROS
6. Introduction to the role of machine learning in robotics – Software architecture, behavior-based systems

7. Neural networks and genetic algorithms in robotics
8. Introduction to Deep Learning and applications in robotics

 

Module 5: Embedded Control and Mechatronics

1. Introduction to embedded computing and control
2. Introduction to embedded hardware platforms – Arduino and Raspberry Pi

3. Programming and interfacing of sensors and actuators
4. Wired and wireless communication systems – MODBUS, CAN, and other paradigms

5. Multi-tasking and closed-loop control of robots

 

Module 6: Applications and Future Directions

1. Introduction to biorobotics and bionics – Exoskeleton device, prosthetics and surgical robotics

2. Humanoid robots – Future directions in automation
3. Human-Robot Interaction (HRI) and Collaboration – Collaborative robotics

4. Manufacturing automation using industrial robots – The next industrial revolution

5. Safety standards in industrial robotics
6. Roboethics: Navigating the ethical use and pitfalls of robotics and AI