Search Results for author: Jorge Peña Queralta

Found 8 papers, 3 papers with code

Long-Term Autonomy in Forest Environment using Self-Corrective SLAM

no code implementations31 Dec 2020 Paavo Nevalainen, Parisa Movahedi, Jorge Peña Queralta, Tomi Westerlund, Jukka Heikkonen

The algorithm adds new iterative closest point (ICP) cases to the initial SLAM and measures the resulting map quality by the mean of the root mean squared error (RMSE) of individual tree clusters.

Simultaneous Localization and Mapping Robotics

Towards Closing the Sim-to-Real Gap in Collaborative Multi-Robot Deep Reinforcement Learning

1 code implementation18 Aug 2020 Wenshuai Zhao, Jorge Peña Queralta, Li Qingqing, Tomi Westerlund

In this work, we are particularly interested in analyzing how multi-agent reinforcement learning can bridge the gap to reality in distributed multi-robot systems where the operation of the different robots is not necessarily homogeneous.

Multi-agent Reinforcement Learning

Ubiquitous Distributed Deep Reinforcement Learning at the Edge: Analyzing Byzantine Agents in Discrete Action Spaces

no code implementations18 Aug 2020 Wenshuai Zhao, Jorge Peña Queralta, Li Qingqing, Tomi Westerlund

The integration of edge computing in next-generation mobile networks is bringing low-latency and high-bandwidth ubiquitous connectivity to a myriad of cyber-physical systems.

Edge-computing

Multi-Scale Supervised 3D U-Net for Kidneys and Kidney Tumor Segmentation

1 code implementation17 Apr 2020 Wenshuai Zhao, Dihong Jiang, Jorge Peña Queralta, Tomi Westerlund

We present a multi-scale supervised 3D U-Net, MSS U-Net, to automatically segment kidneys and kidney tumors from CT images.

Computed Tomography (CT) Tumor Segmentation

UWB-based system for UAV Localization in GNSS-Denied Environments: Characterization and Dataset

2 code implementations9 Mar 2020 Jorge Peña Queralta, Carmen Martínez Almansa, Fabrizio Schiano, Dario Floreano, Tomi Westerlund

We show the viability of this system for autonomous flight of UAVs, and provide open-source methods and data that enable its widespread application even with movable anchor systems.

Robotics Systems and Control Systems and Control

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