Multi-agent reinforcement learning for dynamic ocean monitoring by a swarm of buoys

M Kouzehgar, M Meghjani… - Global Oceans 2020 …, 2020 - ieeexplore.ieee.org
Autonomous marine environmental monitoring problem traditionally encompasses an area
coverage problem which can only be effectively carried out by a multi-robot system. In this …

Adversarial search and tracking with multiagent reinforcement learning in sparsely observable environment

Z Wu, S Ye, M Natarajan, L Chen… - … Symposium on Multi …, 2023 - ieeexplore.ieee.org
We study a search and tracking (S&T) problem where a team of dynamic search agents must
collaborate to track an adversarial, evasive agent. The heterogeneous search team may …

Optimal stochastic control in the interception problem of a randomly tacking vehicle

AA Galyaev, PV Lysenko, EY Rubinovich - Mathematics, 2021 - mdpi.com
This article considers the mathematical aspects of the problem of the optimal interception of
a mobile search vehicle moving along random tacks on a given route and searching for a …

Restoring Connectivity in Robotic Swarms–A Probabilistic Approach

K Eshaghi, NN Sari, C Haigh, D Roman, G Nejat… - Journal of Intelligent & …, 2024 - Springer
Connectivity is an integral trait for swarm robotic systems to enable effective collaboration
between the robots in the swarm. However, connectivity can be lost due to events that could …

Data-driven selective sampling for marine vehicles using multi-scale paths

S Manjanna, G Dudek - 2017 IEEE/RSJ International …, 2017 - ieeexplore.ieee.org
This paper addresses adaptive coverage of a spatial field without prior knowledge. Our
application in this paper is to cover a region of the sea surface using a robotic boat, although …

Optimizing Multi-Agent Search With Non-Uniform Sensor Effectiveness in Distributed Quadcopter Systems

VG Nair, JM D'Souza, KR Guruprasad - IEEE Access, 2024 - ieeexplore.ieee.org
This article explores the vital role of distributed multi-robot systems (DMRS) in applications
such as search and rescue, surveillance, and military operations. In particular, we focus on …

Lost at sea: Multi-searcher multi-target search

P Wang, M Meghjani - … Oceans 2020: Singapore–US Gulf Coast, 2020 - ieeexplore.ieee.org
This paper addresses the multi-searcher multi-target search problem in open ocean
environments. It is a challenging problem as the searchers need to trade-off between the …

Multi‐UAV active target search based on perceptual adaptation in marine environment

X Li, H Wang, X Shen - Cognitive Computation and Systems, 2022 - Wiley Online Library
This work considers the problem of target search in marine environment. A perceptual
adaptive Gaussian sum cubature Kalman filter is proposed for multi‐target search in non …

Robot navigation and target capturing using nature-inspired approaches in a dynamic environment

D Verma, P Saxena, R Tiwari - 2020 10th International …, 2020 - ieeexplore.ieee.org
Path Planning and target searching in a three-dimensional environment is a challenging
task in the field of robotics. It is an optimization problem as the path from source to …

Marine trash collection: A multi-agent, multi-target search

P Wang, M Meghjani, G Chen - OCEANS 2022, Hampton …, 2022 - ieeexplore.ieee.org
Oceanic trash collection is a challenging problem. The garbage patches in the oceans are a
growing concern for scientists, environmentalists and policy makers. In this paper, we …