The use of aerial swarms to solve real-world problems has been increasing steadily,
accompanied by falling prices and improving performance of communication, sensing, and …

Research and development in Collaborative Indoor Positioning Systems (CIPSs) is growing
steadily due to their potential to improve on the performance of their non-collaborative …

This article presents ORB-SLAM3, the first system able to perform visual, visual-inertial and
multimap SLAM with monocular, stereo and RGB-D cameras, using pin-hole and fisheye …

Simultaneous localization and mapping (SLAM) consists in the concurrent construction of a
model of the environment (the map), and the estimation of the state of the robot moving …

We propose a semi-direct monocular visual odometry algorithm that is precise, robust, and
faster than current state-of-the-art methods. The semi-direct approach eliminates the need of …

Swarms of tiny flying robots hold great potential for exploring unknown, indoor
environments. Their small size allows them to move in narrow spaces, and their light weight …

Robotic collaboration promises increased robustness and efficiency of missions with great
potential in applications, such as search‐and‐rescue and agriculture. Multiagent …

Simultaneous localization and mapping (SLAM) in unknown GPS‐denied environments is a
major challenge for researchers in the field of mobile robotics. Many solutions for single …

Decentralized visual simultaneous localization and mapping (SLAM) is a powerful tool for
multi-robot applications in environments where absolute positioning is not available. Being …

The use of mobile robots in search‐and‐rescue and disaster‐response missions has
increased significantly in recent years. However, they are still remotely controlled by expert …