The field of the Internet of Things (IoT) is growing at a breakneck pace and its applications
are becoming increasingly sophisticated with time. Fault injection attacks on IoT systems are …

In the Machine Learning (ML) era, faced with challenges, including exponential multi-sensor
data, an increasing number of actuators, and data-intensive algorithms, the development of …

The Internet of Things (IoT) is an ongoing technological revolution. Embedded processors
are the processing engines of smart IoT devices. For decades, these processors were …

RISC-V is a novel open instruction set architecture that supports multiple platforms while
maintaining simplicity and reliability. Despite its novelty, the software support for RISC-V has …

The methods of data verification are discussed, which are intended for the distant control of
autonomous mobile robotic agents via networks, combining optical data links. The problem …

The security of Internet of Things (IoTs) devices in recent years has created interest in
developing implementations of lightweight cryptographic algorithms for such systems …

Grasping is fundamental in various robotic applications, particularly within industrial
contexts. Accurate inference of object properties is a crucial step toward enhancing grasping …

An inverted pendulum is an inherently unstable system and cannot be maintained in a
balancing state without control. There are several types of inverted pendulums, such as truck …

Robotics increasingly provides practical applications for society, such as manufacturing,
autonomous driving, robot vacuum cleaners, robots in logistics, drones for inspection, etc …

The rapid advancement of artificial intelligence (AI) applications has driven an increasing
demand for conducting inference tasks on edge devices. However, implementing …