IIT Madras Free Robotics Course – Apply Till 1 August 2022
Indian Institute of Technology (IIT) Madras is offering a free online course on Robotics for graduate and undergraduate students.
IIT Madras Admissions 2022: Indian Institute of Technology (IIT) Madras is offering a free online course on Robotics. Candidates can complete this IIT Madras Robotics certificate programme within 12 weeks. Interested candidates can apply for this course till 1 August 2022 on the official website, i.e., onlinecourses.nptel.ac.in
IIT Madras is offering this course to eligible candidates for free. However, if any candidate wants a certificate, then they will have to register and write the exam at any designated exam centre. The optional fee for the examination is INR 1,000. Certificates will be rewarded based on the candidate’s performance in the exam and their average assignment score.
Below mentioned are the important dates for the IIT Madras Robotics certificate programme-
| Events | Dates |
| Programme Start Date | 25 July 2022 |
| Programme End Date | 14 August 2022 |
| Exam Date | 30 August 2022 |
| Application Process Ends | 1 August 2022 |
IIT Madras Robotics programme will provide an understanding of mechanical, electrical, and computer science aspects of robotics. This course is a bridge course for undergraduate or graduate students from various disciplines to get a basic understanding of robotics.
The course will be conducted by Dr. T Asokan, the head of the Department of Engineering Design, Prof. Balaraman Ravindran, professor in computer science, and Dr. Krishna Vasudevan, professor in the department of electrical engineering at IIT Madras.
IIT Madras Free Robotics Course: Syllabus Layout
Week 1: Introduction to robotics- History, growth; Robot applications- Manufacturing industry, defense, rehabilitation, medical, etc., Laws of Robotics
Week 2: Robot mechanisms; Kinematics- coordinate transformations, DH parameters
Week 3: Forward Kinematics, Inverse Kinematics
Week 4: Jacobians, Statics, Trajectory Planning
Week 5: Actuators (electrical)- DC motors, BLDC servo motors
Week 6: Sensors, sensor integration
Week 7: Control – PWM, joint motion control, feedback control
Week 8: Computed torque control
Week 9: Perception, Localisation, and mapping
Week 10: Probabilistic robotics, Path planning, BFS; DFS; Dijkstra; A-star; D-star; Voronoi; Potential Field; Hybrid approaches
Week 11: Simultaneous Localisation and Mapping
Week 12: Introduction to Reinforcement Learning
