Adaptive control is essential for the successful operation of robots in unknown environments. Existing literature involves the use of mathematical assumptions and regression techniques for estimation. This BTP develops an ...

Federated learning (FL) is a popular framework for training a model in a distributed setting, where the data is spread over a network of devices. In traditional FL, the devices communicate with a central server to share ...

In this study, we build upon the Image-Based Visual Servoing (IBVS) technique by Yogesh Kumar and Bassam Pervez Shamsi to develop an advanced kinematic controller for quadrotor tracking. Our approach enhances the tracking ...