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** …
DiSCo-SLAM: Distributed scan context-enabled multi-robot lidar slam with two-stage global-local graph optimization
We propose a novel framework for distributed, multi-robot SLAM intended for use with 3D
LiDAR observations. The framework, DiSCo-SLAM, is the first to use the lightweight Scan …
LiDAR observations. The framework, DiSCo-SLAM, is the first to use the lightweight Scan …
Reinforcement learning–based framework for whale rendezvous via autonomous sensing robots
Rendezvous with sperm whales for biological observations is made challenging by their
prolonged dive patterns. Here, we propose an algorithmic framework that codevelops …
prolonged dive patterns. Here, we propose an algorithmic framework that codevelops …
Kimera-multi: a system for distributed multi-robot metric-semantic simultaneous localization and map**
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 …
Towards collaborative simultaneous localization and map**: a survey of the current research landscape
PY Lajoie, B Ramtoula, F Wu, G Beltrame - ar** are crucial in a large scene and long-term AR
applications. Multi-agent cooperative SLAM is the precondition of multi-user AR interaction …
applications. Multi-agent cooperative SLAM is the precondition of multi-user AR interaction …