Robotics and Embedded Systems Research Group:

The Robotics and Embedded Systems Research Group focuses on advanced research in the areas of robotics, embedded systems, the Internet of Things (IoT), and unmanned aerial vehicles (UAVs). The group is actively involved in the development of advanced control algorithms for robotic systems and drone navigation and control.

In addition to fundamental and applied research, the group undertakes industry-oriented consultancy projects in embedded systems and related technologies, fostering strong academia–industry collaboration.

The research group is engaged in high-quality research in the following areas:

• Energy-efficient embedded systems and IoT sensor nodes: Development of low-power hardware and optimized firmware for long-term environmental monitoring and smart systems.
• Cognitive Robotics and Reinforcement Learning: Leveraging Deep Reinforcement Learning (DRL) to enable autonomous systems to handle stochastic uncertainties, navigate dynamic environments, and improve decision-making through experience.
• Networked Control Systems (NCS) and Real-time Monitoring: Designing communication-aware control algorithms for distributed systems, focusing on resource allocation and scheduling to ensure information timeliness and stability in closed-loop networked environments.
• Data-driven control of Robots and UAV Networks: Developing data-driven control frameworks that integrate physical (traditional/first-principles) models with real-time system data to improve the performance of control tasks in UAV networks and robotic systems operating under uncertain and poorly modeled dynamics. By incorporating data-driven formulations into advanced control schemes such as MPC, these frameworks reduce reliance on manual model parameter updates, allowing the system to adapt on-the-fly to changing environments and maintain resilience against disturbances.

Faculty Members:

• Rohit Singh
• Kumar Saurav
• Ramachandran C A