activity
20242026
collaborators

10 papers

cs.RO2026

Offline Vision-Language Navigation with Geometric Goal Localization for Outdoor Environments

Ali Salmasi, Xianjia Yu, Tomi Westerlund

Foundation-model-based vision-language navigation (VLN) has advanced autonomous robot navigation by enabling robots to interpret natural-language instructions, identify semantic go…

cs.RO2026

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections

Václav Pritzl, Xianjia Yu, Tomi Westerlund +2

Accurate long-term localization using onboard sensors is crucial for robots operating in Global Navigation Satellite System (GNSS)-denied environments. While complementary sensors…

cs.LG2026

Blockchain-Enabled Privacy-Preserving Second-Order Federated Edge Learning in Personalized Healthcare

Anum Nawaz, Muhammad Irfan, Xianjia Yu +4

Federated learning (FL) is increasingly recognised for addressing security and privacy concerns in traditional cloud-centric machine learning (ML), particularly within personalised…

cs.RO2025

Seamless Outdoor-Indoor Pedestrian Positioning System with GNSS/UWB/IMU Fusion: A Comparison of EKF, FGO, and PF

Jiaqiang Zhang, Xianjia Yu, Sier Ha +5

Accurate and continuous pedestrian positioning across outdoor-indoor environments remains challenging because GNSS, UWB, and inertial PDR are complementary yet individually fragile…

cs.RO2025

A Sensor-Aware Phenomenological Framework for Lidar Degradation Simulation and SLAM Robustness Evaluation

Doumegna Mawuto Koudjo Felix, Xianjia Yu, Zhuo Zou +1

Lidar-based SLAM systems are highly sensitive to adverse conditions such as occlusion, noise, and field-of-view (FoV) degradation, yet existing robustness evaluation methods either…

cs.HC2025

Emotion Recognition with Minimal Wearable Sensing: Multi-domain Feature, Hybrid Feature Selection, and Personalized vs. Generalized Ensemble Model Analysis

Muhammad Irfan, Anum Nawaz, Ayse Kosal Bulbul +4

Negative emotions are linked to the onset of neurodegenerative diseases and dementia, yet they are often difficult to detect through observation. Physiological signals from wearabl…