Jul 30, 2015 · This paper reviews state-of-the-art multiple-robot systems, with a major focus on multiple-robot SLAM. Various issues and problems in multiple- ...
Multiple robot simultaneous localization and mapping. Abstract: In this research, a decentralized platform for SLAM with multiple robots has been developed.
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Simultaneous localization and mapping (SLAM) in unknown GPS-denied environments is a major challenge for researchers in the field of mobile robotics. Many ...
An EKF-based single-robot SLAM is extended to multiple-ro robot SLAM with a novel occupancy grid map fusion algorithm that achieves map fusion through a ...
Simultaneous localization and mapping (SLAM) in unknown GPS-denied environments is a major challenge for researchers in the field of mobile robotics.
This paper reviews the sensors and back-end optimization methods used for SLAM. Then, it summarizes existing collaborative SLAM frameworks and some novel ...
We present a novel algorithm for simultaneous localization and mapping via application of entropy on construction of segment-based maps. Entropy has been ...
The proposed method applies a modified Fast-SLAM method, which implements SLAM in a decentralized manner by considering moving landmarks in the environment. Due ...
This survey presents a survey of the scientific literature on the topic of Collaborative Simultaneous Localization and Mapping (C- SLAM), also known as ...
Robot localization is the problem of estimating a robot's pose while mapping is the problem of constructing or learning a map which can be used later for the.