Simultaneous localization and mapping responds to the problem of building a map of the
environment without any prior information and based on the data obtained from one or more …

Visual-inertial simultaneous localization and mapping (VI-SLAM) is popular research topic in
robotics. Because of its advantages in terms of robustness, VI-SLAM enjoys wide …

Distributed as an open‐source library since 2013, real‐time appearance‐based mapping
(RTAB‐Map) started as an appearance‐based loop closure detection approach with …

Unmanned Aerial Vehicles have undergone rapid developments in recent decades. This
has made them very popular for various military and civilian applications allowing us to …

This review paper presents an overview of depth cameras. Our goal is to describe the
features and capabilities of the introduced depth sensors in order to determine their …

Adaptability is a fundamental yet challenging requirement for mobile robot locomotion. This
article presents-WaLTR, a new adaptive wheel-and-leg transformable robot for versatile …

We present Nav2Goal, a data-efficient and end-to-end learning method for goal-conditioned
visual navigation. Our technique is used to train a navigation policy that enables a robot to …

The ability to navigate unstructured environments is an essential task for intelligent systems.
Autonomous navigation by ground vehicles requires developing an internal representation …

The environment of most real-world scenarios such as malls and supermarkets changes at
all times. A pre-built map that does not account for these changes becomes out-of-date …

Visual navigation is of vital importance for autonomous mobile robots. Most existing practical
perception-aware based visual navigation methods generally require prior-constructed …