Tomi Westerlund
tovewe@utu.fi +358 50 343 7684 Vesilinnantie 5 Turku : https://orcid.org/0000-0002-1793-2694 |
Tomi Westerlund is a professor in robotics and autonomous systems. He is the research group leader of the Turku Intelligent Embedded and Robotics Systems (TIERS) lab at the University of Turku (UTU), Finland. TIERS’s main research interests are in multi-robot systems, autonomous robots and edge computing. The main application areas for TIERS include collaborative and heterogeneous multi-robot systems, localization and mapping of urban and unstructured environments, hardware accelerators for AI (edge AI) and distributed intelligence. In essence, to better understand how robots operate and can perform a variety of functions in different fields like environmental monitoring, delivery, agriculture, and search and rescue missions. Prof. Westerlund is a senior member of IEEE.
Prof. Westerlund is the Programme Director of three International Master’s degree programmes at UTU. The International Master’s Degree Programme in Robotics and Autonomous Systems, the Double Degree Master’s Programme in Robotics and Autonomous Systems between Fudan University (Shanghai, China) and the University of Turku, and the Double Degree Programme in Embedded Systems at UTU that is part of the EIT Digital Master School. The double degree programmes give an excellent place to develop and carry out research on Engineering Education in a truly international setting.
More up-to-date information on research topics and projects as well as teaching activities can be found here: https://tiers.utu.fi
- Lightweight Security Algorithms for Resource-constrained IoT-based Sensor Nodes (2020)
- IEEE International Conference on CommunicationsInformatics in Medicine Unlocked
- Localization in Unstructured Environments: Towards Autonomous Robots in Forests with Delaunay TriangulationMulti-Sensor Fusion for Navigation and Mapping in Autonomous Vehicles: Accurate Localization in Urban Environments (2020)
- Remote SensingUnmanned Systems
- MSS U-Net: 3D segmentation of kidneys and tumors from CT images with a multi-scale supervised U-Net (2020)
- (2020)
- Navigation and Mapping in Forest Environment Using Sparse Point CloudsTowards Active Vision with UAVs in Marine Search and Rescue: Analyzing Human Detection at Variable Altitudes (2020)
- Remote Sensing
- Particle telescope aboard FORESAIL-1: Simulated performance (2020)
- Advances in Space ResearchProcedia Computer Science
- Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: A Survey (2020) 2020 IEEE Symposium Series on Computational Intelligence (SSCI) Zhao W., Queralta J.P., Westerlund T.
- Smart Parking System with Dynamic Pricing, Edge-Cloud Computing and LoRa (2020)
- Sensors
- (2020) 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) Qingqing L., Taipalmaa J., Pena Queralta J., Gia T.N., Gabbouj M., Tenhunen H., Raitoharju J., Westerlund T.
- Ubiquitous Distributed Deep Reinforcement Learning at the Edge: Analyzing Byzantine Agents in Discrete Action Spaces (2020)
