Introduces the electrical, mechanical and computer science concepts applicable to robotics. It is a bridge course for the Interdisciplinary Dual Degree (IDDD) program in Robotics at IIT-M.
Introduction to different Guidance Algorithms (Pursuit, Line-of-Sight) for an autonomous vehicle tracking a target.
Introduction to the theory behind and applications of field and service robots. Basic understanding of the kinematics and dynamics of field and service robots. Appreciate the role of sensing and perception in the design of autonomous robots.
Basic understanding of the concepts and techniques involved in designing control schemes for automotive systems. Applications of modern control theory in automotive systems.
Learnt about the kinematics, dynamics and control of serial robot manipulators, such that they can be modeled mathematically and simulated using computer programs.
Understanding and formulation of the reinforcement learning problem using the Markov Decision Process. Introduction to different learning algorithms like Q-Learning, SARSA and it applications. Learnt about usage of deep neural networks (DQN, DDPG) in the field of reinforcement learning.
Learnt about mathematical modeling of ship dynamics and fundamentals of control theory applied to ship motions. Learnt about Guidance, Navigation, and Control applied to ships.
Learnt about machine learning as a tool which can be applied to solve various problems in the field of Ocean Engineering.
E-mail Id: jadhav.aditya127@gmail.com
S-mail Id: na18b103@smail.iitm.ac.in
LinkedIn: Aditya Jadhav
GitHub: adityajadhav99
Cell No.: 8796042141