activity
20192026
most citedUWB-based system for UAV Localization in GNSS-Denied Environments: Characterization and Dataset

140 citations · 948 across the 57 of their papers we have counts for

collaborators
Showing 2022Show all

15 papers · 1 filter

cs.DC2022★ 1 cited

Distributed Ledger Technologies for Managing Heterogenous Computing Systems at the Edge

Daniel Montero Hernández, Jorge Peña Queralta, Tomi Westerlund

The increased use of Internet of Things (IoT) devices -- from basic sensors to robust embedded computers -- has boosted the demand for information processing and storing solutions…

cs.RO2022★ 1 cited

Distributed Robotic Systems in the Edge-Cloud Continuum with ROS 2: a Review on Novel Architectures and Technology Readiness

Jiaqiang Zhang, Farhad Keramat, Xianjia Yu +3

Robotic systems are more connected, networked, and distributed than ever. New architectures that comply with the \textit{de facto} robotics middleware standard, ROS\,2, have recent…

cs.RO2022

Vision-based GNSS-Free Localization for UAVs in the Wild

Marius-Mihail Gurgu, Jorge Peña Queralta, Tomi Westerlund

Considering the accelerated development of Unmanned Aerial Vehicles (UAVs) applications in both industrial and research scenarios, there is an increasing need for localizing these…

cs.RO2022★ 8 cited

Decentralized Vision-Based Byzantine Agent Detection in Multi-Robot Systems with IOTA Smart Contracts

Sahar Salimpour, Farhad Keramat, Jorge Peña Queralta +1

Multiple opportunities lie at the intersection of multi-robot systems and distributed ledger technologies (DLTs). In this work, we investigate the potential of new DLT solutions su…

cs.RO2022★ 1 cited

A Benchmark for Multi-Modal Lidar SLAM with Ground Truth in GNSS-Denied Environments

Ha Sier, Li Qingqing, Yu Xianjia +3

Lidar-based simultaneous localization and mapping (SLAM) approaches have obtained considerable success in autonomous robotic systems. This is in part owing to the high-accuracy of…

cs.RO2022★ 2 cited

UWB Role Allocation with Distributed Ledger Technologies for Scalable Relative Localization in Multi-Robot Systems

Paola Torrico Morón, Salma Salimi, Jorge Peña Queralta +1

Systems for relative localization in multi-robot systems based on ultra-wideband (UWB) ranging have recently emerged as robust solutions for GNSS-denied environments. Scalability r…

cs.RO2022★ 1 cited

Partition-Tolerant and Byzantine-Tolerant Decision-Making for Distributed Robotic Systems with IOTA and ROS 2

Farhad Keramat, Jorge Peña Queralta, Tomi Westerlund

With the increasing ubiquity of autonomous robotic solutions, the interest in their connectivity and in the cooperation within multi-robot systems is rising. Two aspects that are a…

cs.CV2022

Self-Calibrating Anomaly and Change Detection for Autonomous Inspection Robots

Sahar Salimpour, Jorge Peña Queralta, Tomi Westerlund

Automatic detection of visual anomalies and changes in the environment has been a topic of recurrent attention in the fields of machine learning and computer vision over the past d…

cs.RO2022★ 1 cited

Secure Heterogeneous Multi-Robot Collaboration and Docking with Hyperledger Fabric Blockchain

Salma Salimi, Paola Torrico Morón, Jorge Peña Queralta +1

In recent years, multi-robot systems have received increasing attention from both industry and academia. Besides the need of accurate and robust estimation of relative localization…

cs.RO2022★ 1 cited

Towards Lifelong Federated Learning in Autonomous Mobile Robots with Continuous Sim-to-Real Transfer

Xianjia Yu, Jorge Pena Queralta, Tomi Westerlund

The role of deep learning (DL) in robotics has significantly deepened over the last decade. Intelligent robotic systems today are highly connected systems that rely on DL for a var…

cs.RO2022

Federated Learning for Vision-based Obstacle Avoidance in the Internet of Robotic Things

Xianjia Yu, Jorge Peña Queralta, Tomi Westerlund

Deep learning methods have revolutionized mobile robotics, from advanced perception models for an enhanced situational awareness to novel control approaches through reinforcement l…

cs.RO2022★ 5 cited

Analyzing General-Purpose Deep-Learning Detection and Segmentation Models with Images from a Lidar as a Camera Sensor

Yu Xianjia, Sahar Salimpour, Jorge Peña Queralta +1

Over the last decade, robotic perception algorithms have significantly benefited from the rapid advances in deep learning (DL). Indeed, a significant amount of the autonomy stack o…

cs.RO2022

Towards Large-Scale Relative Localization in Multi-Robot Systems with Dynamic UWB Role Allocation

Paola Torrico Morón, Jorge Peña Queralta, Tomi Westerlund

Ultra-wideband (UWB) ranging has emerged as a key radio technology for robot positioning and relative localization in multi-robot systems. Multiple works are now advancing towards…

cs.RO2022★ 5 cited

Multi-Modal Lidar Dataset for Benchmarking General-Purpose Localization and Mapping Algorithms

Qingqing Li, Xianjia Yu, Jorge Peña Queralta +1

Lidar technology has evolved significantly over the last decade, with higher resolution, better accuracy, and lower cost devices available today. In addition, new scanning modaliti…

cs.RO2022★ 2 cited

Hyperledger Fabric Blockchain and ROS 2 Integration for Autonomous Mobile Robots

Salma Salimi, Jorge Peña Queralta, Tomi Westerlund

In industrial applications, security and trust in the system are requirements for widespread adoption. Blockchain technologies have emerged as a potential solution to address ident…