Zobrazeno 1 - 10
of 178
pro vyhledávání: '"Kia, Solmaz"'
We consider an optimal flow distribution problem in which the goal is to find a radial configuration that minimizes resistance-induced quadratic distribution costs while ensuring delivery of inputs from multiple sources to all sinks to meet their dem
Externí odkaz:
http://arxiv.org/abs/2410.14080
Autor:
Vendrell, Joan, Kia, Solmaz
This paper considers the problem of decentralized submodular maximization subject to partition matroid constraint using a sequential greedy algorithm with probabilistic inter-agent message-passing. We propose a communication-aware framework where the
Externí odkaz:
http://arxiv.org/abs/2409.09979
Autor:
Kia, Solmaz, Martinez, Sonia
Publikováno v:
Summer 2024 DSCD Newsletter
The multi-agent spatial coverage control problem encompasses a broad research domain, dealing with both dynamic and static deployment strategies, discrete-task assignments, and spatial distribution-matching deployment. Coverage control may involve th
Externí odkaz:
http://arxiv.org/abs/2407.13890
Autor:
Seo, Min-Won, Kia, Solmaz S.
Probabilistic state estimation is essential for robots navigating uncertain environments. Accurately and efficiently managing uncertainty in estimated states is key to robust robotic operation. However, nonlinearities in robotic platforms pose signif
Externí odkaz:
http://arxiv.org/abs/2407.05478
Autor:
Seo, Min-Won, Kia, Solmaz S.
State estimation poses substantial challenges in robotics, often involving encounters with multimodality in real-world scenarios. To address these challenges, it is essential to calculate Maximum a posteriori (MAP) sequences from joint probability di
Externí odkaz:
http://arxiv.org/abs/2312.08684
Autor:
Ghimire, Donipolo, Kia, Solmaz S.
This paper examines the spatial coverage optimization problem for multiple sensors in a known convex environment, where the coverage service of each sensor is heterogeneous and anisotropic. We introduce the Stein Coverage algorithm, a distribution-ma
Externí odkaz:
http://arxiv.org/abs/2312.07001
Autor:
Seo, Min-Won, Kia, Solmaz S.
We consider a human-assisted autonomy sensor fusion for dynamic target localization in a Bayesian framework. Autonomous sensor-based tracking systems can suffer from observability and target detection failure. Humans possess valuable qualitative info
Externí odkaz:
http://arxiv.org/abs/2308.11839
Autor:
Esteki, Amir-Salar, Kia, Solmaz S.
In this paper, we propose a novel solution for the distributed unconstrained optimization problem where the total cost is the summation of time-varying local cost functions of a group networked agents. The objective is to track the optimal trajectory
Externí odkaz:
http://arxiv.org/abs/2212.09472
In this letter, we study the problem of accelerating reaching average consensus over connected graphs in a discrete-time communication setting. Literature has shown that consensus algorithms can be accelerated by increasing the graph connectivity or
Externí odkaz:
http://arxiv.org/abs/2211.05959
In this letter, we study the problem of accelerating reaching average consensus over connected graphs in a discrete-time communication setting. Literature has shown that consensus algorithms can be accelerated by increasing the graph connectivity or
Externí odkaz:
http://arxiv.org/abs/2206.09916