IIT Madras Free Robotics course for students; Last date to apply is Aug 1
IIT Madras Robotics programme aims at providing an understanding of mechanical, electrical, and computer science aspects of robotics.
Indian Institute of Technology (IIT) Madras has invited eligible candidates to apply for a free online course on Robotics. This course can be completed in 12 weeks. Interested candidates willing to enroll may apply at https://onlinecourses.nptel.ac.in/. The last date to apply for the IIT Madras Robotics certificate programme is August 1.
Latest Update: How to apply for IIT Madras 12-week FREE Robotics course?
IIT Madras Free Robotics Programme: Important dates
- Start date – July 25, 2022
- End date – October 14, 2022
- Exam date – October 30, 2022
- Enrolment ends – August 1, 2022
IIT Madras Robotics programme aims at providing an understanding of mechanical, electrical, and computer science aspects of robotics. The programme will act like a bridge course for undergraduate or graduate students from various disciplines to get a basic understanding of robotics. While the IIT provides the course upon free enrollment, if any student wants a certificate, they have to register and write the exam conducted in person at any of the designated exam centers. The optional fee for the examination is INR 1,000. Certificates will be rewarded based on the participant’s performance in the exam, as well as their average assignment score.
The course will be conducted by Dr T Asokan who is a professor in the department of engineering design, and currently the head of the department, Prof Balaraman Ravindran who is currently a professor in computer science, and Dr Krishna Vasudevan who is a professor in the department of electrical engineering at IIT Madras.
The average assignment score will be 25 per cent of the average of best eight assignments out of the total 12 assignments given in the course, and exam score consists of 75 per cent of the proctored certification exam score out of 100.
IIT Madras Free Robotics Course: Syllabus Details
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 Localization and Mapping
Week 12: Introduction to Reinforcement Learning
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