Amanda Stella Markowska Prorok

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Ultra-wideband (UWB) localization is a recent technology that performs competitively with many indoor localization methods currently available. Despite its desirable traits, such as potential high accuracy and high material penetrability, the resolution of ...

Location is a piece of information that empowers almost any type of application. In contrast to the outdoors, where global navigation satellite systems provide geo-spatial positioning, there are still millions of square meters of indoor space that are unac ...

Ultra-wideband (UWB) localization is one of the most promising indoor localization methods. Yet, non-line-ofsight (NLOS) positioning scenarios remain a challenge and can potentially cause significant localization errors. In this work, we leverage the utili ...

Ultra-wideband (UWB) localization is a recent technology that promises to outperform many indoor localization methods currently available. Yet, non-line-of-sight (NLOS) positioning scenarios can create large biases in the time-difference-of-arrival (TDOA) ...

Recent substantial progress in the domain of indoor positioning systems and a growing number of indoor location-based applications are creating the need for systematic, efficient, and precise experimental methods able to assess the localization and perhaps ...

Multi-robot systems can solve complex tasks that require the coordination of the team-member positions with respect to each other.While the development of ad-hoc relative positioning platforms embedding cheap off-the-shelf components is a practical choice, ...

This work is situated in the context of collaboratively solving the localization problem for unknown initial conditions. We address this problem with a novel, fully decentralized, real-time particle filter algorithm, designed to accommodate realistic robot ...

The efficiency of distributed sensor networks depends on an optimal trade-off between the usage of resources and data quality. This workshop paper addresses the problem of optimizing this trade-off in self-configured distributed sensor networks. In our cas ...

We propose a combined spatial and non-spatial probabilistic modeling methodology motivated by an inspection task performed by a group of miniature robots. Our models explicitly consider spatiality and yield accurate predictions on system performance. An ag ...

The efficiency of distributed sensor networks depends on an optimal trade-off between the usage of resources and data quality. The work in this paper addresses the problem of optimizing this trade-off in a self-configured distributed robotic sensor network ...

Ultra-wideband (UWB) localization is one of the most promising indoor localization methods. Yet, non-line-of- sight (NLOS) positioning scenarios remain a challenge and can potentially cause significant localization errors. In this work, we leverage the col ...

In the present study, we are interested in verifying how the progressive addition of constraints on communication and localization impact the performance of a swarm of small robots in shape formation tasks. Identified to be of importance in a swarm-user in ...

Large numbers of collaborating robots are advantageous for solving distributed problems. In order to efficiently solve the task at hand, the robots often need accurate localization. In this work, we address the localization problem by developing a solution ...

Amanda Stella Markowska Prorok

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Accurate Indoor Localization with Ultra-Wideband using Spatial Models and Collaboration

Models and Algorithms for Ultra-Wideband Localization in Single- and Multi-Robot Systems

Accommodation of NLOS for Ultra-Wideband TDOA Localization in Single- and Multi-Robot Systems

Online Model Estimation of Ultra-Wideband TDOA Measurements for Mobile Robot Localization

Indoor Navigation Research with the Khepera III Mobile Robot: An Experimental Baseline with a Case-study on Ultra-wideband Positioning

Two-Phase Online Calibration for Infrared-based Inter-Robot Positioning Modules

A Reciprocal Sampling Algorithm for Lightweight Distributed Multi-Robot Localization

An Adaptive Field Estimation Algorithm for Sensor Networks in Dynamic Environments

Multi-level Spatial Modeling for Stochastic Distributed Robotic Systems

Towards Optimally Efficient Field Estimation with Threshold-Based Pruning in Real Robotic Sensor Networks

A Framework for NLOS Ultra-Wideband Ranging in Collaborative Mobile Robot Systems

Assembly of Configurations in a Networked Robotic System: A Case Study on a Reconfigurable Interactive Table Lamp

Low-Cost Collaborative Localization for Large-Scale Multi-Robot Systems

Accurate Localization with Ultra-Wideband: Tessellated Spatial Models and Collaboration