Xianjia
Yu
Postdoctoral Researcher, Robotics and Autonomous Systems
PhD
Multi-robot system perception, machine learning, sensor fusion, federated learning
Contact
Areas of expertise
Robotics
Perception
Machine Learning
Computer Vision
Sensor Fusion
Federated Learning
Biography
Dr. Xianjia Yu is a postdoctoral researcher at the TIERS Lab, University of Turku, and an automation researcher and engineer at Kaptas Oy. He earned his D.Sc. (Tech.) in Robotics and Autonomous Systems from the University of Turku in 2024, and holds dual Master’s degrees from the University of Turku and Fudan University. His research focuses on multi-modal sensing, sensor fusion, machine learning, and robotic perception.
Teaching
Previously involved in three-course teaching:
Hardware Accelerators for Robotics & AI
Robotics and Autonomous Systems
Perception and Navigation in Robotics
Research
multi-modal sensing, sensor fusion, machine learning, and robotic perception
Publications
Understanding Lidar Variability: A Dataset and Comparative Study Featuring Dome-Shaped, Solid-State, and Spinning Lidars (2026)
IEEE Robotics and Automation Letters
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery (2025)
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)Event-based Sensor Fusion and Application on Odometry: A Survey (2025)
International Conference on Image Processing, Applications and Systems
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
Blockchain-Enabled Privacy-Preserving Second-Order Federated Edge Learning in Personalised Healthcare (2025)
IEEE Transactions on Consumer Electronics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Enhancing the Resilience of ROS 2-Based Multi-Robot Systems with Kubernetes: A Case Study on UWB-Based Relative Positioning (2025)
Sensors
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Blockchain Powered Edge Intelligence for U-Healthcare in Privacy Critical and Time Sensitive Environment (2025)
IEEE Journal of Biomedical and Health Informatics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Comparison of Middlewares in Edge-to-Edge and Edge-to-Cloud Communication for Distributed ROS 2 Systems (2024)
Journal of Intelligent and Robotic Systems
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Federated learning enhanced multi-modal sensing and perception in a collaborative multi-robot system (2024)
(G5 Artikkeliväitöskirja)LiDAR-Generated Images Derived Keypoints Assisted Point Cloud Registration Scheme in Odometry Estimation (2023)
Remote Sensing
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
A Benchmark for Multi-Modal LiDAR SLAM with Ground Truth in GNSS-Denied Environments (2023)
Remote Sensing
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))