Near-optimal multi-agent learning for safe coverage control
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 …
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
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 …
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
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 …
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
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 …
distributed optimization. Examples include multi-robot task allocation, vehicle routing, target …
Multiagent online source seeking using bandit algorithm
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 …
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
Terrestrial insect-machine hybrid robots have long been discussed as alternatives to
artificial centimetre-scale mobile robots. These hybrid robots can possess various …
artificial centimetre-scale mobile robots. These hybrid robots can possess various …
Multi-robot learning and coverage of unknown spatial fields
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 …
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
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 …
creating an opportunity for the robotics and algorithms communities to collaborate on novel …
Multi-robot dynamical source seeking in unknown environments
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 …
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
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 …
gathered using remote sensing, which uses a combination of satellite and aerial imagery …