There have been tremendous improvements in deep learning and reinforcement learning
techniques. Automating learning and intelligence to the full extent remains a challenge. The …

In this article, the image-based visual servoing (IBVS) problem for mobile robots with
visibility constraints is studied by using a policy-based deep reinforcement learning (DRL) …

Traversability evaluation is the foundation and core of unmanned platforms for scene
understanding and autonomous navigation, whose successful completion relies on the …

Semantic segmentation using convolutional neural networks (CNNs) achieves higher
accuracy than traditional methods, but it fails to yield satisfactory results under illumination …

Accurate and real-time gras** of household items is a challenge for home service robots
in complex indoor environments. In this paper, using transparent cups as the recognition …

Multicast communication plays a pivotal role in Edge based Mobile Ad hoc Networks
(MANETs). MANETs can provide low-cost self-configuring devices for multimedia data …

Distributed parameter systems (DPSs) frequently appear in industrial manufacturing
processes, with complex characteristics such as time–space coupling, nonlinearity, infinite …

A new image-based robot visual servo control strategy based on a third-order sliding-mode
observer (TOSM) model predictive control is proposed in this study. This new control …

The proliferation of smartphones equipped with various sensors created a large user base,
which includes robots (smartphone controlled) as well. The high processor enabled …

Modern robotic platforms need a reliable localization system to operate daily beside
humans. Simple pose estimation algorithms based on filtered wheel and inertial odometry …