Smart factories and manufacturing are expected to provide innumerable benefits to society in the future. An integral part of such systems would be entities, such as robots, that use asense-compute-actuate cycle. We expect that Wireless Networked Cont
The main goal of this project is to secure communication by using a fractional chaotic observer. A fractional order chaotic oscillator is used to generate the encryption key. Hardware utilising a fractional chaotic oscillator circuit will be present
Person re-identification (ReID) is described as “to identify it (the person) as the same particular as one encountered on a previous occasion”. Combining Person-ReID with other branches of computer vision, such as face recognition, pose determina
The statistical characterization of coverage and rate of a Public protection and disaster relief (PPDR) heterogeneous network comprising of aerial access points. We develop algorithms for resource allocation between access and backhaul networks and h
Developing the CACC for the heterogeneous platoon with bidirectional communication in the presence of parametric uncertainty. Currently, we are designing better adaptation techniques for stronger stability, like exponential stability. Thereafter, col
The project aims to localize LoRaWAN- powered Internet of Things (IoT) nodes/devices using the Time Difference of Arrival (TDoA) technique. A key requirement of such localization is the precise synchronization of gateways, which is typically achieved
The technology under development is a speed control of mobile robot Shuttle playing robot.Mobile robot base is an omnidirectional mobile base using appropriate wheels.nonlinear control schemes are mostly used and we are planning to make a nonlinear a
The fixed canard dual-spin projectile represents a cost-effective advancement in modern artillery systems. However, its development poses several challenges, particularly regarding the power and braking systems. These components are crucial; the brak
To develop an ElectroMagnetic(EM) source localization system/algorithm suitable for mobile robotic applications utilizing the numerical solution of Maxwell’s equations. In a room, even in the presence of obstacles and without a direct line of sight
Deep Learning is a promising solution for most of the AI/ML applications in various fields like safety and transportation, medical field, weather forecasting and many more. State-of-the- art deep neural networks can have hundreds of millions of param
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