activity
20192022
most citedMulti-Scale Supervised 3D U-Net for Kidneys and Kidney Tumor Segmentation

129 citations · 443 across the 24 of their papers we have counts for

collaborators

29 papers

cs.DC20221 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.RO20221 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.RO20228 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.RO20221 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.RO20221 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…