Viorela Ila
Consejo Superior de Investigaciones Científicas, Georgia Institute of Technology, Australian National University, Brno University of Technology, Universitat Politècnica de Catalunya, The University of Sydney, Institut de Robòtica i Informàtica Industrial, Australian Centre for Robotic Vision
Papers
21
Total Citations
691
H-Index
10
About
Viorela Ila is a prominent robotics researcher whose work sits at the intersection of probabilistic estimation, simultaneous localization and mapping (SLAM), and computer vision. Over the course of her career, she has made foundational contributions to making SLAM systems faster, more scalable, and applicable to real-world dynamic environments. Her 2009 paper on Information-Based Compact Pose SLAM (185 citations) established efficient information-filter formulations that dramatically reduced the computational burden of robot trajectory estimation. This was complemented by her work on the Bayes Tree (97 citations), which provided a rigorous algorithmic foundation for probabilistic robot mapping, and the SLAM++ framework (89 citations), which advanced incremental, temporally scalable SLAM solutions. Her mathematical contributions to nonlinear least squares solvers—including incremental Cholesky factorization and fast covariance recovery—have had lasting influence on the field's computational toolkit. More recently, her VDO-SLAM system (110 citations) extended SLAM to dynamic environments, enabling robots to model and track moving objects alongside their own trajectory. Beyond core robotics, Ila has applied her expertise to agricultural robotics and embedded vision systems, demonstrating a commitment to translating foundational research into practical, real-world impact.
Research Focus
Key Achievements
Top Papers
- 1Information-Based Compact Pose SLAM185 citations · 2009
- 2VDO-SLAM: A Visual Dynamic Object-aware SLAM System110 citations · 2020
- 3The Bayes Tree: An Algorithmic Foundation for Probabilistic Robot Mapping97 citations · 2010
- 4SLAM++-A highly efficient and temporally scalable incremental SLAM framework89 citations · 2017
- 5
- 6Vision-based loop closing for delayed state robot mapping26 citations · 2007
- 7Fast covariance recovery in incremental nonlinear least square solvers25 citations · 2015
- 8
- 9A Perception Pipeline for Robotic Harvesting of Green Asparagus15 citations · 2019
- 10VLSI architecture for an Underwater Robot Vision System13 citations · 2005