Artificial collective intelligence engineering: a survey of concepts and perspectives
R Casadei - Artificial Life, 2023 - ieeexplore.ieee.org
Collectiveness is an important property of many systems—both natural and artificial. By
exploiting a large number of individuals, it is often possible to produce effects that go far …
exploiting a large number of individuals, it is often possible to produce effects that go far …
Adversar: Adversarial search and rescue via multi-agent reinforcement learning
A Rahman, A Bhattacharya… - … on Technologies for …, 2022 - ieeexplore.ieee.org
Search and Rescue (SAR) missions in remote environments often employ autonomous multi-
robot systems that learn, plan, and execute a combination of local single-robot control …
robot systems that learn, plan, and execute a combination of local single-robot control …
Fast Decision Support for Air Traffic Management at Urban Air Mobility Vertiports using Graph Learning
Urban Air Mobility (UAM) promises a new dimension to decongested, safe, and fast travel in
urban and suburban hubs. These UAM aircraft are conceived to operate from small airports …
urban and suburban hubs. These UAM aircraft are conceived to operate from small airports …
Learning to Allocate Time-Bound and Dynamic Tasks to Multiple Robots Using Covariant Attention Neural Networks
S Paul, S Chowdhury - Journal of Computing and …, 2024 - asmedigitalcollection.asme.org
In various applications of multi-robotics in disaster response, warehouse management, and
manufacturing, tasks that are known a priori and tasks added during run time need to be …
manufacturing, tasks that are known a priori and tasks added during run time need to be …
A penalized batch-Bayesian approach to informative path planning for decentralized swarm robotic search
P Ghassemi, M Balazon, S Chowdhury - Autonomous Robots, 2022 - Springer
Swarm-robotic approaches to search and target localization, where target sources emit a
spatially varying signal, promise unparalleled time efficiency and robustness. With most …
spatially varying signal, promise unparalleled time efficiency and robustness. With most …
Graph learning based decision support for multi-aircraft take-off and landing at urban air mobility vertiports
View Video Presentation: https://doi. org/10.2514/6.2023-1848. vid As city populations
continue to rise, urban air mobility (UAM) seeks to provide much needed relief from traffic …
continue to rise, urban air mobility (UAM) seeks to provide much needed relief from traffic …
Towards Physically Talented Aerial Robots with Tactically Smart Swarm Behavior thereof: An Efficient Co-design Approach
The collective performance or capacity of collaborative autonomous systems such as a
swarm of robots is jointly influenced by the morphology and the behavior of individual …
swarm of robots is jointly influenced by the morphology and the behavior of individual …
从规则驱动到群智涌现: 多机器人空地协同研究综述
郝肇铁， 郭斌， 赵凯星， 吴磊， 丁亚三， 李哲涛， 刘思聪… - 自动化学报, 2024 - aas.net.cn
多机器人空地协同系统作为一种在搜索救援, 自主探索等领域具有广泛应用前景的异构机器人
协作系统, 近年来受到研究者的高度关注. 针对限制空地协同系统自治性能的低智能性 …
协作系统, 近年来受到研究者的高度关注. 针对限制空地协同系统自治性能的低智能性 …
Distributed Localization for UAV–UGV Cooperative Systems Using Information Consensus Filter
B Ou, F Liu, G Niu - Drones, 2024 - mdpi.com
In the evolving landscape of autonomous systems, the integration of unmanned aerial
vehicles (UAVs) and unmanned ground vehicles (UGVs) has emerged as a promising …
vehicles (UAVs) and unmanned ground vehicles (UGVs) has emerged as a promising …
An Open-source Hardware/Software Architecture and Supporting Simulation Environment to Perform Human FPV Flight Demonstrations for Unmanned Aerial Vehicle …
H Xiao, P Krisshna Kumar, JP Pothuri, P Soni… - … FORUM AND ASCEND …, 2024 - arc.aiaa.org
Small multi-rotor unmanned aerial vehicles (UAVs), mainly quadcopters, are nowadays
ubiquitous in research on aerial autonomy, including serving as scaled-down models for …
ubiquitous in research on aerial autonomy, including serving as scaled-down models for …