This paper presents a SLAM algorithm for a team of mobile robots exploring an indoor environment, described by adopting the M-Space representation of linear features. Each robot so...
Daniele Benedettelli, Andrea Garulli, Antonio Gian...
— Mapping an environment with an imaging sensor becomes very challenging if the environment to be mapped is unknown and has to be explored. Exploration involves the planning of v...
The design of an autonomous navigation system for mobile robots can be a tough task. Noisy sensors, unstructured environments and unpredictability are among the problems which mus...
Eric A. Antonelo, Benjamin Schrauwen, Dirk Strooba...
—Traditionally, simultaneous localization and mapping (SLAM) algorithms solve the localization and mapping problem in explored regions. This paper presents a prediction-based SLA...
H. Jacky Chang, C. S. George Lee, Yung-Hsiang Lu, ...
Currently, robotic rotorcraft determine landing zones based on visual cues or predetermined GPS waypoints. Missions such as perch-and-stare or cargo delivery demand the ability to ...