no code implementations • 26 Aug 2022 • Sahar Salimpour, Jorge Peña Queralta, Tomi Westerlund
We also introduce a self-calibrating method for the proposed model in order to address the problem of sensitivity to feature matching thresholds and environmental conditions.
1 code implementation • 8 Mar 2022 • Yu Xianjia, Sahar Salimpour, Jorge Peña Queralta, Tomi Westerlund
Over the last decade, robotic perception algorithms have significantly benefited from the rapid advances in deep learning (DL).
no code implementations • 31 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.
no code implementations • 24 Sep 2020 • Wenshuai Zhao, Jorge Peña Queralta, Tomi Westerlund
Deep reinforcement learning has recently seen huge success across multiple areas in the robotics domain.
no code implementations • 28 Aug 2020 • Jorge Peña Queralta, Jussi Taipalmaa, Bilge Can Pullinen, Victor Kathan Sarker, Tuan Nguyen Gia, Hannu Tenhunen, Moncef Gabbouj, Jenni Raitoharju, Tomi Westerlund
Autonomous or teleoperated robots have been playing increasingly important roles in civil applications in recent years.
no code implementations • 18 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.
1 code implementation • 18 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 reinforcement-learning +1
no code implementations • 7 May 2020 • Jorge Peña Queralta, Jenni Raitoharju, Tuan Nguyen Gia, Nikolaos Passalis, Tomi Westerlund
Rescue vessels are the main actors in maritime safety and rescue operations.
1 code implementation • 17 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.
2 code implementations • 9 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