MEMBER-  Sai Ramavath

This Aerobot HIL system supports the development of a complete Guidance, Navigation and Control (GNC) autopilot for autonomous drones. It eliminates the risks and costs of real-world flight testing, enabling researchers to explore control algorithm boundaries in a controlled environment.

Keywords: Hybrid Modelling, Adaptive Control, Optimal Estimation and Control.

MEMBER-Shreyas NM, Daksh Katkar, Prof. Aditya Paranjape (Monash University)

Aims to design and build coupled feathering and flapping bird mechanisms (2 DOF) inspired by hummingbirds. Currently, it provides a hardware test setup to design and verify the control systems for unmanned vehicles with similar structures. 

Keywords: bio-inspired, nonlinear control, Optimal Filtering

MEMBER- Rudraksh Kuchiya, M. Saad Khan

The manipulator mounted on an aerial vehicle (aerial manipulator) is a coupled nonlinear system with applications in industries for inspecting large structures. The coupled dynamics pose challenges to the stability of the aerial vehicle while actuating the manipulator. During inspection, the end effector may have to apply a specific force to the environment for various non-destructive testing methods, which is also explored in this context

Keywords: Nonlinear control, Coupled Dynamics, Force Control.

MEMBER-  Aditya Ashirbad

The project aims to revolutionize the drone industry with an innovative IC Engine Driven Hydraulic Quadcopter. Traditional electric drones face limitations in flight endurance and payload capacity. To overcome these challenges, the integration of an internal combustion engine (IC) with hydraulic propulsion enables superior efficiency, longer flight times, and increased payload capacity. This design allows the drone to operate in harsh environments and perform various tasks such as aerial surveillance, agriculture, disaster management, and logistics. Key features include a closed-loop control system for stability, optimized hydraulic components, and advanced sensors for enhanced autonomy.