Ants combine systematic meandering and correlated random walks when searching for unknown resources
S Popp, A Dornhaus - Iscience, 2023 - cell.com
Animal search movements are typically assumed to be mostly random walks, although non-
random elements may be widespread. We tracked ants (Temnothorax rugatulus) in a large …
random elements may be widespread. We tracked ants (Temnothorax rugatulus) in a large …
Range-aided lidar-inertial multi-vehicle mapping in degenerate environment
Z Jin, C Jiang - arXiv preprint arXiv:2303.08454, 2023 - arxiv.org
This paper presents a range-aided LiDAR-inertial multi-vehicle mapping system (RaLI-
Multi). Firstly, we design a multi-metric weights LiDAR-inertial odometry by fusing …
Multi). Firstly, we design a multi-metric weights LiDAR-inertial odometry by fusing …
Range-Aided LiDAR-Inertial Multi-Vehicle Localization and Mapping in Degenerate Environments
Z Jin, C Jiang - IEEE Transactions on Intelligent Vehicles, 2024 - ieeexplore.ieee.org
This paper presents a range-aided LiDAR-inertial multi-vehicle localization and mapping
system (RaLI-Multi). Firstly, we propose a LiDAR-inertial odometry with multi-metric weights …
system (RaLI-Multi). Firstly, we propose a LiDAR-inertial odometry with multi-metric weights …
Using evolutionary game theory to understand scalability in task allocation
Cooperation is an important challenge in multi-agent systems. Decentralised learning of
cooperation is difficult because interactions between agents make the environment non …
cooperation is difficult because interactions between agents make the environment non …
Trade-offs of Dynamic Control Structure in Human-swarm Systems
TG Kelly, MD Soorati, KP Zauner… - arXiv preprint arXiv …, 2024 - arxiv.org
Swarm robotics is a study of simple robots that exhibit complex behaviour only by interacting
locally with other robots and their environment. The control in swarm robotics is mainly …
locally with other robots and their environment. The control in swarm robotics is mainly …
Reducing Uncertainty in Collective Perception Using Self-Organizing Hierarchy
In collective perception, agents sample spatial data and use the samples to agree on some
estimate. In this paper, we identify the sources of statistical uncertainty that occur in …
estimate. In this paper, we identify the sources of statistical uncertainty that occur in …
Multi-Robot Autonomous Exploration in Unknown Environment: A Review
L Zhu, J Cheng, Y Liu - 2023 China Automation Congress …, 2023 - ieeexplore.ieee.org
Multi-robot collaborative exploration in unknown environments has drawn more and more
attention, and the exploration algorithms can be well applied in many real-worlds …
attention, and the exploration algorithms can be well applied in many real-worlds …
Meta Reinforcement Learning Based Sensor Scanning in 3D Uncertain Environments for Heterogeneous Multi-Robot Systems
We study a novel problem that tackles learning based sensor scanning in 3D and uncertain
environments with heterogeneous multi-robot systems. Our motivation is two-fold: first, 3D …
environments with heterogeneous multi-robot systems. Our motivation is two-fold: first, 3D …
Distributed game-theoretic trajectory planning for multi-agent interactions
ZJ Williams - 2023 - ideals.illinois.edu
In this work, we develop a scalable, local trajectory optimization algorithm that enables
robots to interact with other agents. It has been shown that the interactions of multiple agents …
robots to interact with other agents. It has been shown that the interactions of multiple agents …
Learning-based Distributed Control for UAVs to Achieve Fully Connected Effect using Local Information
E Khanapuri, R Sharma - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Centralized controllers are not scalable because they require high computational cost and
communication bandwidth (full connectivity). Furthermore, the entire group will also be …
communication bandwidth (full connectivity). Furthermore, the entire group will also be …