About

Teresa Vidal-Calleja is a leading robotics researcher whose work spans simultaneous localization and mapping (SLAM), autonomous navigation, informative path planning, and multi-modal perception. Her research addresses fundamental challenges in enabling robots and unmanned aerial vehicles to operate intelligently and autonomously in complex, real-world environments. Among her most influential contributions is a general framework for UAV-based terrain monitoring through informative path planning (2020, 161 citations), which has become a key reference for efficient autonomous data acquisition. Her earlier foundational work on bearing-only SLAM observability (2007, 54 citations) provided critical theoretical insights into monocular camera-based navigation, while her research on resilient localization using combined visual and thermal imaging (2013, 61 citations) demonstrated robust robot perception under challenging conditions such as smoke and darkness. Vidal-Calleja has also advanced probabilistic mapping for industrial inspection, including Bayesian approaches to pipeline thickness assessment, and proposed unified Gaussian process representations supporting mapping, odometry, and planning simultaneously. Her more recent contributions to pose-graph optimization and 3D sound source mapping further reflect her commitment to pushing the boundaries of autonomous robotic perception. With hundreds of citations across diverse domains, her work continues to meaningfully shape modern robotics research and autonomous systems development.

Research Focus

Key Achievements

11
H-Index
37
Papers
628
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
An informative path planning framework for UAV-based terrain monitoring
161 citations · 2020
📈 Most Prolific Year: 2023 (7 Papers)
🤝 Key Collaborators: 60
🏛 Institutions: University of Technology Sydney, The University of Sydney, Institut de Robòtica i Informàtica Industrial, Australian Centre for Robotic Vision, Laboratoire d'Analyse et d'Architecture des Systèmes, Centre National de la Recherche Scientifique

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago