Resilient and distributed multi-robot visual slam: Datasets, experiments, and lessons learned

Y Tian, Y Chang, L Quang, A Schang… - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
This paper revisits Kimera-Multi, a distributed multi-robot Simultaneous Localization and
Map** (SLAM) system, towards the goal of deployment in the real world. In particular, this …

Multi S-graphs: an efficient distributed semantic-relational collaborative SLAM

M Fernandez-Cortizas, H Bavle… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
Collaborative Simultaneous Localization and Map** (CSLAM) is critical to enable multiple
robots to operate in complex environments. Most CSLAM techniques rely on raw sensor …

Robust Collaborative Visual-Inertial SLAM for Mobile Augmented Reality

X Pan, G Huang, Z Zhang, J Li, H Bao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Achieving precise real-time localization and ensuring robustness are critical challenges in
multi-user mobile AR applications. Leveraging collaborative information to augment tracking …

AutoFusion: Autonomous Visual Geolocation and Online Dense Reconstruction for UAV Cluster

Y Zhang, S Bu, Y Dong, Y Zhang, K Li… - … on Robotics and …, 2024 - ieeexplore.ieee.org
Real-time dense reconstruction using Unmanned Aerial Vehicle (UAV) is becoming
increasingly popular in large-scale rescue and environmental monitoring tasks. However …

Deep Compressed Communication and Application in Multi-Robot 2D-Lidar SLAM: An Intelligent Huffman Algorithm

L Zhang, J Deng - Sensors, 2024 - mdpi.com
Multi-robot Simultaneous Localization and Map** (SLAM) systems employing 2D lidar
scans are effective for exploration and navigation within GNSS-limited environments …

Collaborative Exploration and Map** with Multimodal LiDAR Sensors

Y Xu, L Li, S Sun, W Wu, A **, Z Yan… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Exploration and map** unknown environments have placed elevated demands on the
spatial intelligence perception capabilities of unmanned systems. Traditional single …