Nowadays, a growing number of ubiquitous mobile applications has increased the interest
in indoor location-based services. Some indoor localization solutions for smartphones …

Autonomous vehicles include driverless, self-driving and robotic cars, and other platforms
capable of sensing and interacting with its environment and navigating without human help …

Robot navigation is a complex process that involves real-time localization, obstacle
avoidance, map update, control, and path planning. Thus, it is also a computationally …

Hitchhiking is a means of transportation gained by asking other people for a (free) ride. We
developed a multi-robot system which is the first of its kind to incorporate hitchhiking in …

Monte Carlo localization (MCL) may fail to localize an arbitrarily moved mobile robot under
extreme disturbances. Inspired by the strategy of finding a missing person (SFMP), this …

This paper presents an approach to detect and solve the kidnapped robot problem using
range data from a laser range finder and wifi signals. Localization based on range finders …

We present a deep-learning-based strategy that only uses a 2D LiDAR sensor to solve the
kidnapped robot problem in similar indoor environments. First, we converted a set of 2D …

This paper proposes a nudged particle filter for estimating the pose of a camera mounted on
flying robots collecting a video sequence. The nudged particle filter leverages two image-to …

A robot might get lost due to abrupt wheel slippage, unsteady movements on uneven floors,
collision with obstacles, blocked perception sensors or kidnapping. When this happens, the …

For a mobile robot to operate in its environment it is crucial to determine its position with
respect to an external reference frame using noisy sensor readings. A scenario in which the …