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Beyond robustness: A taxonomy of approaches towards resilient multi-robot systems
A Prorok, M Malencia, L Carlone, GS Sukhatme… - ar** framework for multi-robot systems
Collaborative Simultaneous Localization And Map** (C-SLAM) is a vital component for
successful multi-robot operations in environments without an external positioning system …
successful multi-robot operations in environments without an external positioning system …
DOOR-SLAM: Distributed, online, and outlier resilient SLAM for robotic teams
To achieve collaborative tasks, robots in a team need to have a shared understanding of the
environment and their location within it. Distributed Simultaneous Localization and Map** …
environment and their location within it. Distributed Simultaneous Localization and Map** …
Data-efficient decentralized visual SLAM
Decentralized visual simultaneous localization and map** (SLAM) is a powerful tool for
multi-robot applications in environments where absolute positioning is not available. Being …
multi-robot applications in environments where absolute positioning is not available. Being …
Towards collaborative simultaneous localization and map**: a survey of the current research landscape
PY Lajoie, B Ramtoula, F Wu, G Beltrame - ar**
We present the first fully distributed multi-robot system for dense metric-semantic
Simultaneous Localization and Map** (SLAM). Our system, dubbed Kimera-Multi, is …
Simultaneous Localization and Map** (SLAM). Our system, dubbed Kimera-Multi, is …
Hydra-multi: Collaborative online construction of 3d scene graphs with multi-robot teams
3D scene graphs have recently emerged as an expressive high-level map representation
that describes a 3D environment as a layered graph where nodes represent spatial …
that describes a 3D environment as a layered graph where nodes represent spatial …
Collaborative visual SLAM using compressed feature exchange
In the field of robotics, collaborative simultaneous localization and map** (SLAM) is still a
challenging problem. The exploration of unknown large-scale environments benefits from …
challenging problem. The exploration of unknown large-scale environments benefits from …
Descriptor distillation for efficient multi-robot slam
Performing accurate localization while maintaining the low-level communication bandwidth
is an essential challenge of multi-robot simultaneous localization and map** (MR-SLAM) …
is an essential challenge of multi-robot simultaneous localization and map** (MR-SLAM) …
Matching features without descriptors: implicitly matched interest points
The extraction and matching of interest points is a prerequisite for many geometric computer
vision problems. Traditionally, matching has been achieved by assigning descriptors to …
vision problems. Traditionally, matching has been achieved by assigning descriptors to …