We study the problem of assigning robots with actions to track targets. ...
In this work, we study the problem of decentralized multi-agent perimete...
Autoencoders are unsupervised neural networks that are used to process a...
A large number of pornographic audios publicly available on the Internet...
We study the problem that requires a team of robots to perform joint
loc...
We consider the problem of finding decentralized strategies for multi-ag...
Centralized approaches for multi-robot coverage planning problems suffer...
Traditional approaches for active mapping focus on building geometric ma...
Consensus algorithms form the foundation for many distributed algorithms...
We consider the setting where a team of robots is tasked with tracking
m...
The problem of multi-robot target tracking asks for actively planning th...
In this paper, we develop a learning-based approach for decentralized
su...
In this letter, we consider a distributed submodular maximization proble...
We consider a scenario where a team of robots with heterogeneous sensors...
Deploying a team of robots that can carefully coordinate their actions c...
Submodular maximization has been widely used in many multi-robot task
pl...
We introduce a risk-aware multi-objective Traveling Salesperson Problem ...
The multiple-path orienteering problem asks for paths for a team of robo...
We propose a risk-aware framework for multi-robot, multi-demand assignme...
We study the problem of incorporating risk while making combinatorial
de...
We propose a centralized control framework to select suitable robots fro...
We aim to guard swarm-robotics applications against denial-of-service (D...
The problem of target tracking with multiple robots consists of actively...
We introduce and study the problem of planning a trajectory for an agent...
We study the problem of incorporating risk while making combinatorial
de...