Research

Simplifying Complex Observation Models in Continuous POMDPs

Multi-Robot POMDPs with Inconsistent Beliefs

Simplified Risk-Aware POMDP Planning

Simplified Belief-Dependent POMDP Planning

Hybrid Belief POMDP Planning

Data Association Aware Belief Space Planning

Constrained Belief-Dependent POMDP Planning

Autonomous Viewpoint-Dependent Semantic Perception

Qualitative SLAM and Belief Space Planning

Incremental Belief Space Planning

Sparsification for Decision Making in High-Dimensional State Spaces

Belief Space Planning

Single- and Multi-Robot

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

Topological Belief Space Planning

Probabilistic Inference via Deep Learning

Incremental Light Bundle Adjustment

Distributed Robust Inference and Data Association

Factor Graph based Incremental Smoothing

Distributed Multi-Robot Cooperative Navigation

Three-View Geometry Constraints for Navigation-Aiding

Online Mosaicking & Navigation-Aiding