Research | Vadim Indelman

Research overview (only some of the directions):

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Simplification of Belief Space Planning (from 2022)

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Research Introduction and Overview (from 2019)

Specific research directions & projects:

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