HydRA
Hydrodynamic Response Analysis — a web application for simulating the linear and nonlinear response of marine and offshore structures, free to use.
Department of Ocean Engineering · Indian Institute of Technology Madras
We work at the intersection of artificial intelligence, control theory and hydrodynamics — building autonomous surface and underwater platforms, and taking them from simulation to the water.
The MAV Laboratory is part of the Department of Ocean Engineering at the Indian Institute of Technology Madras. We study and build systems for marine autonomous vehicles — autonomous surface and underwater platforms — with an emphasis on ideas that can be validated in simulation and verified through tank and field trials.
Our vision is to provide an environment where curiosity meets practicality in marine robotics: a place where people passionate about AI, control theory, and hydrodynamics — in both software and hardware — can feed that curiosity and see their ideas become real vehicles, algorithms, and deployments.
We want students to exchange ideas freely, help each other, and turn imagination into reality — whether that means a new hull, a new controller, a new simulator module, or a field experiment.
We imagine the lab to be a guild of curious minds who help each other deploy their ideas into reality — not only on paper, but in code and in the water.
The lab’s intellectual centre sits at the intersection of artificial intelligence, control theory, and hydrodynamics, applied to marine autonomy — including simulation, identification, and full-scale marine robotic systems.
We aspire to grow to a level where the lab can meaningfully support India’s defence and commercial needs in marine autonomy. That is forward-looking ambition: we build toward it through publications, software tools, teaching, and partnerships — one project and one cohort at a time.
Dr. Abhilash Somayajula, Associate Professor, Department of Ocean Engineering, IIT Madras.
Research
Five threads that run through the group's work, from the hydrodynamics underneath to the autonomy on top.
Guidance, navigation and control for autonomous surface and underwater vehicles, taken from simulation through to field trials.
Machine learning applied to maritime systems, where data-driven models are combined with the physics of ship and platform motion.
Extracting hydrodynamic coefficients and manoeuvring models from model tests and full-scale field data.
Nonlinear time-domain simulation of ships and offshore structures, including the panel-method solvers behind HydRA.
Rare and extreme responses of marine systems — parametric roll, capsize, and dynamic stability in a random seaway.
Software
Hydrodynamic Response Analysis — a web application for simulating the linear and nonlinear response of marine and offshore structures, free to use.
Marine Autonomous Vehicle Simulator — a browser-based simulator for ship maneuvering and marine autonomy, free to use.
News
We welcome students curious about AI, control theory and hydrodynamics — and willing to take an idea all the way to a field trial.