Westerlund, Tomi

Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey

Zhao, W., Queralta, J. P., & Westerlund, T. (2020) · 2020 IEEE Symposium Series on Computational Intelligence (SSCI)

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 941

Energy efficient wearable sensor node for IoT-based fall detection systems

Nguyen Gia, T., Sarker, V. K., Tcarenko, I., Rahmani, A. M., Westerlund, T., Liljeberg, P., & Tenhunen, H. (2018) · Microprocessors and Microsystems

Context-Aware Activity Recognition SystemsWireless Body Area Networks

Cited by 146

Edge ai in smart farming iot: cnns at the edge and fog computing with lora

Gia, T. N., Qingqing, L., Queralta, J. P., Zou, Z., Tenhunen, H., & Westerlund, T. (2019) · 2019 IEEE AFRICON

Smart Agriculture and AIIoT and Edge/Fog Computing

Cited by 101

Federated Learning in Robotic and Autonomous Systems

Xianjia, Y., Queralta, J. P., Heikkonen, J., & Westerlund, T. (2021) · Procedia Computer Science

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 79

Edge ai and blockchain for privacy-critical and data-sensitive applications

Nawaz, A., Gia, T. N., Queralta, J. P., & Westerlund, T. (2019) · 2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU)

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 39

Towards closing the sim-to-real gap in collaborative multi-robot deep reinforcement learning

Zhao, W., Queralta, J. P., Qingqing, L., & Westerlund, T. (2020) · 2020 5th International Conference on Robotics and Automation Engineering (ICRAE)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 36

Collaborative Multi-Robot Systems for Search and Rescue: Coordination and Perception

Queralta, J. P., Taipalmaa, J., Pullinen, B. C., Sarker, V. K., Gia, T. N., Tenhunen, H., Gabbouj, M., Raitoharju, J., & Westerlund, T. (2020) · arXiv

Distributed Control Multi-Agent SystemsRobotics and Sensor-Based Localization

Cited by 27

Distributed Progressive Formation Control for Multi-Agent Systems: 2D and 3D deployment of UAVs in ROS/Gazebo with RotorS

McCord, C., Queralta, J. P., Gia, T. N., & Westerlund, T. (2019) · 2019 European Conference on Mobile Robots (ECMR)

Distributed Control Multi-Agent SystemsModular Robots and Swarm Intelligence

Cited by 23

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

Zhao, W., Queralta, J. P., Qingqing, L., & Westerlund, T. (2020) · Procedia Computer Science

Reinforcement Learning in RoboticsIoT and Edge/Fog Computing

Cited by 9