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20102026
most citedDistributed State Estimation Using Intermittently Connected Robot Networks

76 citations · 308 across the 72 of their papers we have counts for

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Showing 2017Show all

10 papers · 1 filter

cs.RO2017

Probabilistic Motion Planning under Temporal Tasks and Soft Constraints

Meng Guo, Michael M. Zavlanos

This paper studies motion planning of a mobile robot under uncertainty. The control objective is to synthesize a {finite-memory} control policy, such that a high-level task specifi…

cs.RO2017

Sampling-Based Optimal Control Synthesis for Multi-Robot Systems under Global Temporal Tasks

Yiannis Kantaros, Michael M. Zavlanos

This paper proposes a new optimal control synthesis algorithm for multi-robot systems under global temporal logic tasks. Existing planning approaches under global temporal goals re…

cs.MA2017★ 1 cited

Multi-Robot Data Gathering Under Buffer Constraints and Intermittent Communication

Meng Guo, Michael M. Zavlanos

We consider a team of heterogeneous robots which are deployed within a common workspace to gather different types of data. The robots have different roles due to different capabili…

cs.RO2017

Controlling a Robotic Stereo Camera Under Image Quantization Noise

Charles Freundlich, Yan Zhang, Alex Zihao Zhu +2

In this paper, we address the problem of controlling a mobile stereo camera under image quantization noise. Assuming that a pair of images of a set of targets is available, the cam…

cs.RO2017

Distributed Hierarchical Control for State Estimation With Robotic Sensor Networks

Charles Freundlich, Yan Zhang, Michael M. Zavlanos

This paper addresses active state estimation with a team of robotic sensors. The states to be estimated are represented by spatially distributed, uncorrelated, stationary vectors.…

cs.RO2017★ 33 cited

Model-Based Active Source Identification in Complex Environments

Reza Khodayi-mehr, Wilkins Aquino, Michael M. Zavlanos

We consider the problem of Active Source Identification (ASI) in steady-state Advection-Diffusion (AD) transport systems. Unlike existing bio-inspired heuristic methods, we propose…

cs.RO2017

Distributed Active State Estimation with User-Specified Accuracy

Charles Freundlich, Soomin Lee, Michael M. Zavlanos

In this paper, we address the problem of controlling a network of mobile sensors so that a set of hidden states are estimated up to a user-specified accuracy. The sensors take meas…

cs.RO2017

Temporal Logic Task Planning and Intermittent Connectivity Control of Mobile Robot Networks

Yiannis Kantaros, Meng Guo, Michael M. Zavlanos

In this paper, we develop a distributed intermittent communication and task planning framework for mobile robot teams. The goal of the robots is to accomplish complex tasks, captur…

math.OC2017★ 34 cited

On the Sublinear Regret of Distributed Primal-Dual Algorithms for Online Constrained Optimization

Soomin Lee, Michael M. Zavlanos

This paper introduces consensus-based primal-dual methods for distributed online optimization where the time-varying system objective function is given as the sum…

math.OC2017

Complexity Certification of a Distributed Augmented Lagrangian Method

Soomin Lee, Nikolaos Chatzipanagiotis, Michael M. Zavlanos

In this paper we present complexity certification results for a distributed Augmented Lagrangian (AL) algorithm used to solve convex optimization problems involving globally couple…