Navigation is a crucial challenge for mobile robots. Currently, deep reinforcement learning
has attracted considerable attention and has witnessed substantial development owing to its …

With remarkable advancements in the development of connected and autonomous vehicles
(CAVs), the integration of teleoperation has become crucial for improving safety and …

Water sustainability will be scarce in the coming decades because of global warming, an
alarming situation for irrigation systems. The key requirement for crop production is water …

Featured Application Healthcare, remote sensing, and military. Abstract Background: Over
the last few decades, telepresence robots (TRs) have drawn significant attention in …

The COVID-19 pandemic and associated restrictions on mobility and access to green space
have disrupted exercise habits worldwide. According to the World Health Organization …

IoT is the technology that aids the interconnection of all kinds of devices over the internet to
replace data, monitor devices and enhance actuators to create outcomes. Cyber-physical …

This focuses on the problem of controlling the formation of a team of rotating robots that are
not homonomic and are not able to interact in a barrier environment. The virtual structure …

Bilateral teleoperation systems encounter challenges in achieving synchronisation between
master and slave robots due to communication time delays. This paper addresses the …

This research investigates the use of reinforcement learning (RL) algorithms for optimal
control systems in electrical engineering. The article discusses four popular RL algorithms …

This research discusses an approach for controlling omni-wheel robots that will be used in
telepresence robot applications. The first approach uses the pole placement method to …