Graph-based distributed cooperative navigation. - Vadim Indelman; Pini Gurfil; Ehud Rivlin; Héctor Rotstein (ICRA, 2011)

Incremental Light Bundle Adjustment. - Vadim Indelman; Richard Roberts 001; Chris Beall; Frank Dellaert (BMVC, 2012)

Factor graph based incremental smoothing in inertial navigation systems. - Vadim Indelman; Stephen Williams; Michael Kaess; Frank Dellaert (FUSION, 2012)

Concurrent filtering and smoothing. - Michael Kaess; Stephen Williams; Vadim Indelman; Richard Roberts 001; John J. Leonard; Frank Dellaert (FUSION, 2012)

Consistent decentralized graphical SLAM with anti-factor down-dating. - Alexander Cunningham; Vadim Indelman; Frank Dellaert (SSRR, 2012)

Graph-based distributed cooperative navigation for a general multi-robot measurement model. - Vadim Indelman; Pini Gurfil; Ehud Rivlin; Héctor Rotstein (Int. J. Robotics Res., 2012)

Distributed vision-aided cooperative localization and navigation based on three-view geometry. - Vadim Indelman; Pini Gurfil; Ehud Rivlin; Héctor Rotstein (Robotics Auton. Syst., 2012)

Real-Time Vision-Aided Localization and Navigation Based on Three-View Geometry. - Vadim Indelman; Pini Gurfil; Ehud Rivlin; Héctor Rotstein (IEEE Trans. Aerosp. Electron. Syst., 2012)

DDF-SAM 2.0: Consistent distributed smoothing and mapping. - Alexander Cunningham; Vadim Indelman; Frank Dellaert (ICRA, 2013)

Incremental light bundle adjustment for robotics navigation. - Vadim Indelman; Andrew Melim; Frank Dellaert (IROS, 2013)

Towards Planning in Generalized Belief Space. - Vadim Indelman; Luca Carlone; Frank Dellaert (ISRR, 2013)

Information fusion in navigation systems via factor graph based incremental smoothing. - Vadim Indelman; Stephen Williams; Michael Kaess; Frank Dellaert (Robotics Auton. Syst., 2013)

Eliminating conditionally independent sets in factor graphs: A unifying perspective based on smart factors. - Luca Carlone; Zsolt Kira; Chris Beall; Vadim Indelman; Frank Dellaert (ICRA, 2014)

Planning under uncertainty in the continuous domain: A generalized belief space approach. - Vadim Indelman; Luca Carlone; Frank Dellaert (ICRA, 2014)

Multi-robot pose graph localization and data association from unknown initial relative poses via expectation maximization. - Vadim Indelman; Erik Nelson; Nathan Michael; Frank Dellaert (ICRA, 2014)

An Experimental Study of Robust Distributed Multi-robot Data Association from Arbitrary Poses. - Erik Nelson; Vadim Indelman; Nathan Michael; Frank Dellaert (ISER, 2014)

Concurrent filtering and smoothing: A parallel architecture for real-time navigation and full smoothing. - Stephen Williams; Vadim Indelman; Michael Kaess; Richard Roberts 001; John J. Leonard; Frank Dellaert (Int. J. Robotics Res., 2014)

Towards information-theoretic decision making in a conservative information space. - Vadim Indelman (ACC, 2015)

Information-based reduced landmark SLAM. - Siddharth Choudhary; Vadim Indelman; Henrik I. Christensen; Frank Dellaert (ICRA, 2015)

Distributed real-time cooperative localization and mapping using an uncertainty-aware expectation maximization approach. - Jing Dong 002; Erik Nelson; Vadim Indelman; Nathan Michael; Frank Dellaert (ICRA, 2015)

Towards multi-robot active collaborative state estimation via belief space planning. - Vadim Indelman (IROS, 2015)

Towards Cooperative Multi-robot Belief Space Planning in Unknown Environments. - Vadim Indelman (ISRR (1), 2015)

Incremental Sparse GP Regression for Continuous-time Trajectory Estimation & Mapping. - Xinyan Yan; Vadim Indelman; Byron Boots (CoRR, 2015)

Planning in the continuous domain: A generalized belief space approach for autonomous navigation in unknown environments. - Vadim Indelman; Luca Carlone; Frank Dellaert (Int. J. Robotics Res., 2015)

Incremental light bundle adjustment for structure from motion and robotics. - Vadim Indelman; Richard Roberts 001; Frank Dellaert (Robotics Auton. Syst., 2015)

DA-BSP: Towards Data Association Aware Belief Space Planning for Robust Active Perception. - Shashank Pathak; Antony Thomas; Asaf Feniger; Vadim Indelman (ECAI, 2016)

Computationally efficient decision making under uncertainty in high-dimensional state spaces. - Dmitry Kopitkov; Vadim Indelman (IROS, 2016)

Multi-robot decentralized belief space planning in unknown environments via efficient re-evaluation of impacted paths. - Tal Regev; Vadim Indelman (IROS, 2016)

Formal and Data Association Aware Robust Belief Space Planning. - Shashank Pathak; Sadegh Esmaeil Zadeh Soudjani; Vadim Indelman; Alessandro Abate (STAIRS, 2016)

Robust Active Perception via Data-association aware Belief Space planning. - Shashank Pathak; Antony Thomas; Asaf Feniger; Vadim Indelman (CoRR, 2016)

No Correlations Involved: Decision Making Under Uncertainty in a Conservative Sparse Information Space. - Vadim Indelman (IEEE Robotics Autom. Lett., 2016)

Consistent sparsification for efficient decision making under uncertainty in high dimensional state spaces. - Khen Elimelech; Vadim Indelman (ICRA, 2017)

Towards efficient inference update through planning via JIP - Joint inference and belief space planning. - Elad I. Farhi; Vadim Indelman (ICRA, 2017)

Nonmyopic data association aware belief space planning for robust active perception. - Shashank Pathak; Antony Thomas; Vadim Indelman (ICRA, 2017)

Scalable sparsification for efficient decision making under uncertainty in high dimensional state spaces. - Khen Elimelech; Vadim Indelman (IROS, 2017)

Active online visual-inertial navigation and sensor calibration via belief space planning and factor graph based incremental smoothing. - Yair Ben Elisha; Vadim Indelman (IROS, 2017)

Fast Action Elimination for Efficient Decision Making and Belief Space Planning Using Bounded Approximations. - Khen Elimelech; Vadim Indelman (ISRR, 2017)

No belief propagation required: Belief space planning in high-dimensional state spaces via factor graphs, the matrix determinant lemma, and re-use of calculation. - Dmitry Kopitkov; Vadim Indelman (Int. J. Robotics Res., 2017)

Computationally Efficient Belief Space Planning via Augmented Matrix Determinant Lemma and Reuse of Calculations. - Dmitry Kopitkov; Vadim Indelman (IEEE Robotics Autom. Lett., 2017)

Incremental sparse GP regression for continuous-time trajectory estimation and mapping. - Xinyan Yan; Vadim Indelman; Byron Boots (Robotics Auton. Syst., 2017)

Bayesian Viewpoint-Dependent Robust Classification Under Model and Localization Uncertainty. - Yuri Feldman; Vadim Indelman (ICRA, 2018)

Topological Multi-Robot Belief Space Planning in Unknown Environments. - Andrej Kitanov; Vadim Indelman (ICRA, 2018)

Bayesian Information Recovery from CNN for Probabilistic Inference. - Dmitry Kopitkov; Vadim Indelman (IROS, 2018)

Cooperative multi-robot belief space planning for autonomous navigation in unknown environments. - Vadim Indelman (Auton. Robots, 2018)

Decentralized multi-robot belief space planning in unknown environments via identification and efficient re-evaluation of impacted paths. - Tal Regev; Vadim Indelman (Auton. Robots, 2018)

Deep PDF: Probabilistic Surface Optimization and Density Estimation. - Dmitry Kopitkov; Vadim Indelman (CoRR, 2018)

A unified framework for data association aware robust belief space planning and perception. - Shashank Pathak; Antony Thomas; Vadim Indelman (Int. J. Robotics Res., 2018)

BAFS: Bundle Adjustment With Feature Scale Constraints for Enhanced Estimation Accuracy. - Vladimir Ovechkin; Vadim Indelman (IEEE Robotics Autom. Lett., 2018)

Inference Over Distribution of Posterior Class Probabilities for Reliable Bayesian Classification and Object-Level Perception. - Vladimir Tchuiev; Vadim Indelman (IEEE Robotics Autom. Lett., 2018)

iX-BSP: Belief Space Planning through Incremental Expectation. - Elad I. Farhi; Vadim Indelman (ICRA, 2019)

Data Association Aware Semantic Mapping and Localization via a Viewpoint-Dependent Classifier Model. - Vladimir Tchuiev; Yuri Feldman; Vadim Indelman (IROS, 2019)

Introducing PIVOT: Predictive Incremental Variable Ordering Tactic for Efficient Belief Space Planning. - Khen Elimelech; Vadim Indelman (ISRR, 2019)

Topological Information-Theoretic Belief Space Planning with Optimality Guarantees. - Andrej Kitanov; Vadim Indelman (CoRR, 2019)

General Probabilistic Surface Optimization and Log Density Estimation. - Dmitry Kopitkov; Vadim Indelman (CoRR, 2019)

Efficient Decision Making and Belief Space Planning using Sparse Approximations. - Khen Elimelech; Vadim Indelman (CoRR, 2019)

Neural Spectrum Alignment. - Dmitry Kopitkov; Vadim Indelman (CoRR, 2019)

General-purpose incremental covariance update and efficient belief space planning via a factor-graph propagation action tree. - Dmitry Kopitkov; Vadim Indelman (Int. J. Robotics Res., 2019)

Neural Spectrum Alignment: Empirical Study. - Dmitry Kopitkov; Vadim Indelman (ICANN (2), 2020)

Experience-Based Prediction of Unknown Environments for Enhanced Belief Space Planning. - Omri Asraf; Vadim Indelman (IROS, 2020)

Probabilistic Qualitative Localization and Mapping. - Roee Mor; Vadim Indelman (IROS, 2020)

Spatially-dependent Bayesian semantic perception under model and localization uncertainty. - Yuri Feldman; Vadim Indelman (Auton. Robots, 2020)

Distributed Consistent Multi-Robot Semantic Localization and Mapping. - Vladimir Tchuiev; Vadim Indelman (IEEE Robotics Autom. Lett., 2020)

iX-BSP: Incremental Belief Space Planning. - Elad I. Farhi; Vadim Indelman (CoRR, 2021)

Online POMDP Planning via Simplification. - Ori Sztyglic; Vadim Indelman (CoRR, 2021)

Probabilistic Loss and its Online Characterization for Simplified Decision Making Under Uncertainty. - Andrey Zhitnikov; Vadim Indelman (CoRR, 2021)

Simplified Belief-Dependent Reward MCTS Planning with Guaranteed Tree Consistency. - Ori Sztyglic; Andrey Zhitnikov; Vadim Indelman (CoRR, 2021)

Efficient Belief Space Planning in High-Dimensional State Spaces using PIVOT: Predictive Incremental Variable Ordering Tactic. - Khen Elimelech; Vadim Indelman (CoRR, 2021)

Efficient Modification of the Upper Triangular Square Root Matrix on Variable Reordering. - Khen Elimelech; Vadim Indelman (IEEE Robotics Autom. Lett., 2021)

FT-BSP: Focused Topological Belief Space Planning. - Moshe Shienman; Andrej Kitanov; Vadim Indelman (IEEE Robotics Autom. Lett., 2021)

D2A-BSP: Distilled Data Association Belief Space Planning with Performance Guarantees Under Budget Constraints. - Moshe Shienman; Vadim Indelman (ICRA, 2022)

Adaptive Information Belief Space Planning. - Moran Barenboim; Vadim Indelman (IJCAI, 2022)

Hybrid Belief Pruning with Guarantees for Viewpoint-Dependent Semantic SLAM. - Tuvy Lemberg; Vadim Indelman (IROS, 2022)

Speeding up POMDP Planning via Simplification. - Ori Sztyglic; Vadim Indelman (IROS, 2022)

Qualitative Belief Space Planning via Compositions. - Itai Zilberman; Vadim Indelman (IROS, 2022)

Nonmyopic Distilled Data Association Belief Space Planning Under Budget Constraints. - Moshe Shienman; Vadim Indelman (ISRR, 2022)

Simplified Risk-aware Decision Making with Belief-dependent Rewards in Partially Observable Domains. - Andrey Zhitnikov; Vadim Indelman (Artif. Intell., 2022)

Bayesian incremental inference update by re-using calculations from belief space planning: a new paradigm. - Elad I. Farhi; Vadim Indelman (Auton. Robots, 2022)

Risk Aware Belief-dependent Constrained POMDP Planning. - Andrey Zhitnikov; Vadim Indelman (CoRR, 2022)

involve-MI: Informative Planning with High-Dimensional Non-Parametric Beliefs. - Gilad Rotman; Vadim Indelman (CoRR, 2022)

Simplified decision making in the belief space using belief sparsification. - Khen Elimelech; Vadim Indelman (Int. J. Robotics Res., 2022)

Hypotheses Disambiguation in Retrospective. - Ohad Shelly; Vadim Indelman (IEEE Robotics Autom. Lett., 2022)

Incorporating Compositions in Qualitative Approaches. - Itai Zilberman; Ehud Rivlin; Vadim Indelman (IEEE Robotics Autom. Lett., 2022)

Simplified Risk-aware Decision Making with Belief-dependent Rewards in Partially Observable Domains (Extended Abstract). - Andrey Zhitnikov; Vadim Indelman (IJCAI, 2023)

Online POMDP Planning with Anytime Deterministic Guarantees. - Moran Barenboim; Vadim Indelman (NeurIPS, 2023)

Measurement Simplification in ρ-POMDP with Performance Guarantees. - Tom Yotam; Vadim Indelman (CoRR, 2023)

No Compromise in Solution Quality: Speeding Up Belief-dependent Continuous POMDPs via Adaptive Multilevel Simplification. - Andrey Zhitnikov; Ori Sztyglic; Vadim Indelman (CoRR, 2023)

Monte Carlo Planning in Hybrid Belief POMDPs. - Moran Barenboim; Moshe Shienman; Vadim Indelman (IEEE Robotics Autom. Lett., 2023)

Epistemic uncertainty aware semantic localization and mapping for inference and belief space planning. - Vladimir Tchuiev; Vadim Indelman (Artif. Intell., 2023)

A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers. - Julio A. Placed; Jared Strader; Henry Carrillo; Nikolay Atanasov 001; Vadim Indelman; Luca Carlone; José A. Castellanos 001 (IEEE Trans. Robotics, 2023)

Data Association Aware POMDP Planning With Hypothesis Pruning Performance Guarantees. - Moran Barenboim; Idan Lev-Yehudi; Vadim Indelman (IEEE Robotics Autom. Lett., 2023)

Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice. - Idan Lev-Yehudi; Moran Barenboim; Vadim Indelman (AAAI, 2024)

Multi-Robot Communication-Aware Cooperative Belief Space Planning with Inconsistent Beliefs: An Action-Consistent Approach. - Tanmoy Kundu 001; Moshe Rafaeli; Vadim Indelman (IROS, 2024)

A Slices Perspective for Incremental Nonparametric Inference in High Dimensional State Spaces. - Moshe Shienman; Ohad Levy-Or; Michael Kaess; Vadim Indelman (IROS, 2024)

Simplification of Risk Averse POMDPs with Performance Guarantees. - Yaacov Pariente; Vadim Indelman (CoRR, 2024)

Simplified POMDP Planning with an Alternative Observation Space and Formal Performance Guarantees. - Da Kong; Vadim Indelman (CoRR, 2024)

Anytime Probabilistically Constrained Provably Convergent Online Belief Space Planning. - Andrey Zhitnikov; Vadim Indelman (CoRR, 2024)

Previous Knowledge Utilization In Online Anytime Belief Space Planning. - Michael Novitsky; Moran Barenboim; Vadim Indelman (CoRR, 2024)

Measurement Simplification in $ rho$-POMDP with Performance Guarantees. - Tom Yotam; Vadim Indelman (IEEE Trans. Robotics, 2024)

Simplified Continuous High-Dimensional Belief Space Planning With Adaptive Probabilistic Belief-Dependent Constraints. - Andrey Zhitnikov; Vadim Indelman (IEEE Trans. Robotics, 2024)

Topological belief space planning for active SLAM with pairwise Gaussian potentials and performance guarantees. - Andrej Kitanov; Vadim Indelman (Int. J. Robotics Res., 2024)

No compromise in solution quality: Speeding up belief-dependent continuous partially observable Markov decision processes via adaptive multilevel simplification. - Andrey Zhitnikov; Ori Sztyglic; Vadim Indelman (Int. J. Robotics Res., 2025)

Online Hybrid-Belief POMDP with Coupled Semantic-Geometric Models and Semantic Safety Awareness. - Tuvy Lemberg; Vadim Indelman (CoRR, 2025)

Anytime Incremental ρPOMDP Planning in Continuous Spaces. - Ron Benchetrit; Idan Lev-Yehudi; Andrey Zhitnikov; Vadim Indelman (CoRR, 2025)

Value Gradients with Action Adaptive Search Trees in Continuous (PO)MDPs. - Idan Lev-Yehudi; Michael Novitsky; Moran Barenboim; Ron Benchetrit; Vadim Indelman (CoRR, 2025)