Our research in Network Control Systems lies at the intersection of control and communication engineering, focusing on control under imperfect wireless networks. We combine theoretical analysis with experimental validation using setups like rotary servo and dual-rotor systems, along with SDRs and LoRa modules. Simulations are carried out in MATLAB, LabVIEW, and Python.

Our second direction explores the intersection of optimal control and reinforcement learning, addressing control problems when system models are uncertain. This includes both theoretical development and experimental validation using MATLAB and Python.

We also work on autonomous navigation, focusing on perception, localization, and control for robotic systems. Our lab is equipped with LiDAR, depth cameras, a motion capture studio, high-end IMUs, and GPS modules for real-world experimentation.

Projects

"Energy Efficient Distributed Estimation and Control of Networked Robots and its implementation Architectures", IIT Palakkad Technology IHub Foundation, 2021 - 2026, Role: PI

"Intelligent Offshore Mechatronics Systems (INMOST)", Norwegian Research Council (RCN) - INTPART, Partnering institutions: NTNU, Norway, NORSE, Norway, NIT Goa, IIT Indore, IIT Tirupati and IIT Palakkad, 2020 - 2023, Role: PI from IIT Palakkad

"Feedback control of stochastic hybrid systems with state-dependent noise", SERB - MATRICS, 2019-2022, Role: PI