Machine learning (ML) is widely used for key tasks in Connected and Automated Vehicles
(CAV), including perception, planning, and control. However, its reliance on vehicular data …

Blockchain technology generates and maintains an immutable digital ledger that records
transactions between agents interacting in a peer-to-peer network. Initially developed for …

The scarcity of fault samples has been the bottleneck for the large-scale application of
mechanical fault diagnosis (FD) methods in the industrial Internet of Things (IIoT). Traditional …

Abstract Although the Trajectory Prediction (TP) model has achieved great success in
computer vision and robotics fields, its architecture and training scheme design rely on …

Autonomous systems are becoming inherently ubiquitous with the advancements of
computing and communication solutions enabling low-latency offloading and real-time …

We present DiNNO, a distributed algorithm that enables a group of robots to collaboratively
optimize a deep neural network model while communicating over a mesh network. Each …

The advent of the Artificial Intelligent Internet of Things (AIoT) has sparked a revolution in the
deployment of intelligent systems, driving the need for innovative data processing …

Learning from Demonstration (LfD) constitutes one of the most robust methodologies for
constructing efficient cognitive robotic systems. Despite the large body of research works …

Abstract Unmanned Aerial Vehicles (UAVs) are now used in multiple sectors for a vast array
of purposes. These vehicles working in swarms can be used for reconnaissance, search and …

Abstract Purpose of Review: Distributed ledger technologies (DLTs), particularly blockchain,
are paving the way to securing and managing distributed and large-scale systems of …