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pro vyhledávání: '"Simultaneous localization and mapping"'
Simultaneous localization and mapping (SLAM) is a process where an autonomous vehicle builds a map of an unknown environment while concurrently generating an estimate for its location. This book is concerned with computationally efficient solutions t
This paper presents the development and evaluation of a medical service robot equipped with 3D LiDAR and advanced localization capabilities for use in hospital environments. The robot employs LiDAR-based Simultaneous Localization and Mapping SLAM to
Externí odkaz:
http://arxiv.org/abs/2411.04797
Autor:
Li, Taozhe, Sun, Wei
The Visual Simultaneous Localization and Mapping (V-SLAM) system has seen significant development in recent years, demonstrating high precision in environments with limited dynamic objects. However, their performance significantly deteriorates when d
Externí odkaz:
http://arxiv.org/abs/2410.10669
Autor:
McGann, Daniel, Kaess, Michael
This paper introduces a novel incremental distributed back-end algorithm for Collaborative Simultaneous Localization and Mapping (C-SLAM). For real-world deployments, robotic teams require algorithms to compute a consistent state estimate accurately,
Externí odkaz:
http://arxiv.org/abs/2406.07371
Autor:
Bradley, Aidan J., Abaid, Nicole
Studies on the social behaviors of bats show that they have the ability to eavesdrop on the signals emitted by conspecifics in their vicinity. They can fuse this ``passive" data with actively collected data from their own signals to get more informat
Externí odkaz:
http://arxiv.org/abs/2404.13116
Enabling robots to understand the world in terms of objects is a critical building block towards higher level autonomy. The success of foundation models in vision has created the ability to segment and identify nearly all objects in the world. Howeve
Externí odkaz:
http://arxiv.org/abs/2404.04377
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