Research




Simplification of Online Belief-Dependent Reward POMDP Planning



Probabilistic Inference via Deep Learning



Autonomous Robust Semantic and Object-level Perception



Active Robust Perception via Belief Space Planning



Topological Belief Space Planning



Joint Inference and Incremental Belief Space Planning


Belief Space Planning via Factor Graphs and Re-use of Calculation


Sparsification for Decision Making
in High-Dimensional State Spaces


Qualitative Perception, SLAM and Belief Space Planning


Planning in the Belief Space (Single and Multi-Robot)


Distributed Robust Inference
and Data Association


Bundle Adjustment for SfM and Autonomous Navigation


Factor Graph based Incremental Smoothing in Navigation Systems


Distributed Multi-Robot Cooperative Navigation


Three-View Geometry Constraints for
Navigation-Aiding


Online Mosaicking & Navigation-Aiding
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