The usage of drones and rovers helps to overcome the limitations of
trad...
In this paper, a Priority-based Dynamic REsource Allocation with
decentr...
This paper presents a Predictive Maneuver Planning with Deep Reinforceme...
This paper proposes a novel Decentralized Spike-based Learning (DSL)
fra...
This paper presents a non-iterative approach for finding the assignment ...
Deep learning models operating in the complex domain are used due to the...
Building segmentation in high-resolution InSAR images is a challenging t...
Object detection and classification using aerial images is a challenging...
Aerial package transportation often requires complex spatial and tempora...
This paper addresses the problem of position estimation in UAVs operatin...
In this paper, the Multi-Swarm Cooperative Information-driven search and...
In this paper, a non-iterative spatio-temporal multi-task assignment app...
In this paper, we propose a new class of Control Barrier Functions (CBFs...
This paper addresses the problem of cooperative target tracking using a
...
In this paper, an exponentially stable trajectory tracking controller is...
To ensure the safety and efficiency of its maneuvers, an Autonomous Vehi...
This paper proposes a novel scheme to identify the authorship of a docum...
In this paper, the problem of coordinated transportation of heavy payloa...
The autonomous operation of small quadcopters moving at high speed in an...
This paper presents an online evolving neural network-based inverse dyna...
Methods proposed in the literature for zero-shot learning (ZSL) are typi...
Prognostication of vehicle trajectories in unknown environments is
intri...
In this paper, we present a novel passive single Degree-of-Freedom (DoF)...
Grabbing a manoeuvring target using drones is a challenging problem. Thi...
This paper provides a new solution approach to a multi-player perimeter
...
Existing methods for distillation use the conventional training approach...
Zero-shot learning is a new paradigm to classify objects from classes th...
Recently, many researchers have attempted to improve deep learning-based...
This paper addresses the problem of restricted airspace protection from
...
With a growing interest in autonomous vehicles' operation, there is an
e...
Recently, zero-shot learning (ZSL) emerged as an exciting topic and attr...
In this paper, we design a reliable Heliquad and develop an intelligent
...
This paper formulates an application of reinforcement learning for an ev...
This paper presents a supervised learning algorithm, namely, the Synapti...
This paper presents a novel method for information interpretability in a...