Aditya Kailas Jadhav
Research is formalized curiosity. It is poking and prying with a purpose.
Zora Neale Hurston
I primarily love to research about guidance and control of autonomous systems. Most of my research has been carried out under the guidance of my Dual Degree supervisor Dr.Abhilash Somayajula. I have been an active member of Marine Autonomous Vehicles Laboratory (MAV Lab) since last two years, where I have explored multiple research frontiers including Information Metrics for efficient exploration, Traditional and AI based controllers for heading control and waypoint tracking of an under-actuated ship, Cooperative Autonomy for Collision Avoidance, and System Identification of Marine Vessels using Machine Learning techniques.
Below, I have listed some of my research done in the past two years. Some of them were quite successful, while the rest are under progress.
E-mail Id: jadhav.aditya127@gmail.com
S-mail Id: na18b103@smail.iitm.ac.in
LinkedIn Id: Aditya Jadhav
Cell No.: 8796042141
This is my Dual Degree Research project which focuses on Cooperative Control of multiple vessels to avoid collisions, while at the same time conforming to COLREGs (a set of traffic rules of the waterways prescribed by the International Maritime Organization).
A practical implementation of a path following algorithm for an underactuated scaled model of a container ship. Integral Line Of Sight (ILOS) guidance scheme along with Proportional Derivative (PD) rudder control law is implemented to track the path connecting a series of waypoints.
Numerical models which mathematically model the dynamics and motion of ship are quite useful as they allow to carry out study without actually having a physical model. This work tries to build an Abkowitz ship maneuvering model with the help of regression technique called support vector regression.
