Inertial sensing is employed in a wide range of applications and platforms, from everyday
devices such as smartphones to complex systems like autonomous vehicles. In recent years …

Visual Simultaneous Localization and Map** (VSLAM) has been a hot topic of research
since the 1990s, first based on traditional computer vision and recognition techniques and …

Featured Application The application of “Autonomous Navigation of Robots: Optimization
with DQN” involves using reinforcement learning techniques to optimize the navigation of …

Rapid advances in robotics have placed urgent demands on more intelligent human‐
machine interaction technologies. Specifically, the way of establishing dual‐way intuitive …

Simultaneous localization and map** (SLAM) technology can be used to locate and build
maps in unknown environments, but the constructed maps often suffer from poor readability …

In this paper, the exponential consensus of leaderless and leader-following multi-agent
systems with Lipschitz nonlinear dynamics is illustrated with aperiodic sampled-data control …

This review article is an attempt to survey all recent AI based techniques used to deal with
major functions in This review paper presents a comprehensive overview of end-to-end …

Multimodal fusion of sensors is a commonly used approach to enhance the performance of
odometry estimation, which is also a fundamental module for mobile robots. Recently …

With the increasing popularity of unmanned aerial vehicles (UAVs), accurate positioning and
pose recognition of UAVs by target images based on photoelectric detection become a …

Visual-inertial odometry (VIO) is a vital technique used in robotics, augmented reality, and
autonomous vehicles. It combines visual and inertial measurements to accurately estimate …