Beyond robustness: A taxonomy of approaches towards resilient multi-robot systems

A Prorok, M Malencia, L Carlone, GS Sukhatme… - ar** (SLAM) is a crucial capability to obtain
timely situational awareness over large areas. Real-world applications demand multi-robot …

Swarm-slam: Sparse decentralized collaborative simultaneous localization and map** framework for multi-robot systems

PY Lajoie, G Beltrame - IEEE Robotics and Automation Letters, 2023 - ieeexplore.ieee.org
Collaborative Simultaneous Localization And Map** (C-SLAM) is a vital component for
successful multi-robot operations in environments without an external positioning system …

Towards collaborative simultaneous localization and map**: a survey of the current research landscape

PY Lajoie, B Ramtoula, F Wu, G Beltrame - ar**
Y Chang, Y Tian, JP How… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
We present the first fully distributed multi-robot system for dense metric-semantic
Simultaneous Localization and Map** (SLAM). Our system, dubbed Kimera-Multi, is …

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 …

SLAM: Decentralized and Distributed Collaborative Visual-Inertial SLAM System for Aerial Swarm

H Xu, P Liu, X Chen, S Shen - IEEE Transactions on Robotics, 2024 - ieeexplore.ieee.org
Collaborative simultaneous localization and map** (CSLAM) is essential for autonomous
aerial swarms, laying the foundation for downstream algorithms, such as planning and …

Distributed relative localization algorithms for multi-robot networks: A survey

S Wang, Y Wang, D Li, Q Zhao - Sensors, 2023 - mdpi.com
For a network of robots working in a specific environment, relative localization among robots
is the basis for accomplishing various upper-level tasks. To avoid the latency and fragility of …

A survey of distributed optimization methods for multi-robot systems

T Halsted, O Shorinwa, J Yu, M Schwager - arxiv preprint arxiv …, 2021 - arxiv.org
Distributed optimization consists of multiple computation nodes working together to minimize
a common objective function through local computation iterations and network-constrained …