Near-optimal multi-agent learning for safe coverage control

M Prajapat, M Turchetta… - Advances in Neural …, 2022 - proceedings.neurips.cc
In multi-agent coverage control problems, agents navigate their environment to reach
locations that maximize the coverage of some density. In practice, the density is rarely …

[PDF][PDF] A one decade survey of autonomous mobile robot systems

NAK Zghair, AS Al-Araji - International Journal of Electrical and …, 2021 - core.ac.uk
Recently, autonomous mobile robots have gained popularity in the modern world due to
their relevance technology and application in real world situations. The global market for …

Distributed estimation approach for tracking a mobile target via formation of UAVs

M Doostmohammadian, A Taghieh… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper considers distributed estimation methods to enable the formation of Unmanned-
Aerial-Vehicles (UAVs) that track a moving target. The UAVs (or agents) are equipped with …

A Tutorial on Distributed Optimization for Cooperative Robotics: from Setups and Algorithms to Toolboxes and Research Directions

A Testa, G Carnevale, G Notarstefano - arxiv preprint arxiv:2309.04257, 2023 - arxiv.org
Several interesting problems in multi-robot systems can be cast in the framework of
distributed optimization. Examples include multi-robot task allocation, vehicle routing, target …

Multiagent online source seeking using bandit algorithm

B Du, K Qian, C Claudel, D Sun - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article presents a learning-based algorithm for solving the online source-seeking
problem with a multiagent system under an unknown dynamical environment. Our algorithm …

A newly developed chemical locomotory booster for cyborg insect to sustain its activity and to enhance covering performance

Q Lin, K Kai, HD Nguyen, H Sato - Sensors and Actuators B: Chemical, 2024 - Elsevier
Terrestrial insect-machine hybrid robots have long been discussed as alternatives to
artificial centimetre-scale mobile robots. These hybrid robots can possess various …

Multi-robot learning and coverage of unknown spatial fields

M Santos, U Madhushani, A Benevento… - … Symposium on Multi …, 2021 - ieeexplore.ieee.org
This paper addresses the problem of optimally covering a domain when the scalar function
that describes the relative importance of the points in the domain is initially unknown. We …

A Survey of Decision-Theoretic Approaches for Robotic Environmental Monitoring

Y Sung, Z Chen, J Das, P Tokekar - Foundations and Trends® …, 2023 - nowpublishers.com
Robotics has dramatically increased our ability to gather data about our environments,
creating an opportunity for the robotics and algorithms communities to collaborate on novel …

Multi-robot dynamical source seeking in unknown environments

B Du, K Qian, H Iqbal, C Claudel… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
This paper presents an algorithmic framework for the distributed on-line source seeking,
termed as DoSS, with a multi-robot system in an unknown dynamical environment. Our …

Efficient multi-robot inspection of row crops via kernel estimation and region-based task allocation

M Edmonds, J Yi - 2021 IEEE International Conference on …, 2021 - ieeexplore.ieee.org
Modern agriculture relies on accurate and timely data. Currently, most of this data is
gathered using remote sensing, which uses a combination of satellite and aerial imagery …